S-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Classes All Packages

S

s - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
s - Variable in class elki.math.linearalgebra.SingularValueDecomposition: Array for internal storage of singular values.
s0 - Variable in class elki.utilities.random.Xoroshiro128NonThreadsafeRandom: State of random number generator.
S0 - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Stirling error constants: 1./12
s1 - Variable in class elki.utilities.random.Xoroshiro128NonThreadsafeRandom: State of random number generator.
S1 - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Stirling error constants: 1./360
S2 - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Stirling error constants: 1./1260
S3 - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Stirling error constants: 1./1680
S4 - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Stirling error constants: 1./1188
SameSizeKMeans<V extends NumberVector> - Class in tutorial.clustering: K-means variation that produces equally sized clusters.
SameSizeKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class tutorial.clustering.SameSizeKMeans: Constructor.
SameSizeKMeans.Meta - Class in tutorial.clustering: Object metadata.
SameSizeKMeans.Par<V extends NumberVector> - Class in tutorial.clustering: Parameterization class.
SameSizeKMeans.PreferenceComparator - Class in tutorial.clustering: Sort a list of integers (= cluster numbers) by the distances.
samLMR(A, NumberArrayAdapter<?, A>, int) - Static method in class elki.math.statistics.ProbabilityWeightedMoments: Compute the sample L-Moments using probability weighted moments.
sample - Variable in class elki.algorithm.KNNDistancesSampler: Sampling percentage.
sample - Variable in class elki.result.SamplingResult: The actual selection
sample - Variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: Sampling result
sample - Variable in class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance: Sample we visualize.
sample - Variable in class elki.visualization.visualizers.parallel.LineVisualization.Instance: Sample we visualize.
sample - Variable in class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: The DBID sample
sample(double) - Method in class elki.clustering.kmeans.initialization.AFKMC2.Instance
sample(double) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Weighted sampling.
SAMPLE - elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Mode
SAMPLE_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Samples size.
SAMPLE_SIZE_ID - Static variable in class elki.algorithm.DependencyDerivator.Par: Optional parameter to specify the threshold for the size of the random sample to use, must be an integer greater than 0.
SAMPLE_SIZE_ID - Static variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: Number of samples per uncertain object.
SAMPLE_SIZE_ID - Static variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Parameter to specify the sample size for choosing vantage point
sampleFirst(ClusterFeature, List<? extends AsClusterFeature>, Random) - Method in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves: Sample the first cluster center.
SampleKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.initialization: Initialize k-means by running k-means on a sample of the data set only.
SampleKMeans(RandomFactory, KMeans<V, ?>, double) - Constructor for class elki.clustering.kmeans.initialization.SampleKMeans: Constructor.
sampleMinMax(Relation<O>, DistanceQuery<O>) - Method in class elki.algorithm.statistics.DistanceStatisticsWithClasses: Estimate minimum and maximum via sampling.
sampleNew(DBIDs, WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>, int) - Method in class elki.index.preprocessed.knn.NNDescent: samples newNeighbors for every object
samples - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Benchmark parameters.
samples - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators: Benchmark parameters.
samples - Variable in class elki.application.statistics.EstimateIntrinsicDimensionality: Number of samples to draw.
samples - Variable in class elki.data.uncertain.UnweightedDiscreteUncertainObject: Sample vectors.
samples - Variable in class elki.data.uncertain.WeightedDiscreteUncertainObject: Samples
samples - Variable in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization: Number of samples to draw for uncertain objects.
SAMPLES_ID - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Parameter to specify the amount of clusterings that shall be created and compared.
samplesAlgorithm - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Field to store the algorithm.
samplesAlgorithm - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering: The algorithm to be wrapped and run.
samplesize - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult: Sample size
samplesize - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par: Holds the value of RandomGeneratedReferencePoints.Par.N_ID.
samplesize - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints: Holds the sample size.
samplesize - Variable in class elki.utilities.referencepoints.RandomSampleReferencePoints.Par: Sample size.
samplesize - Variable in class elki.utilities.referencepoints.RandomSampleReferencePoints: Sample size.
samplesize - Variable in class elki.visualization.VisualizerParameterizer.Par: Sampling size
samplesize - Variable in class elki.visualization.VisualizerParameterizer: Sample size
sampleSize - Variable in class elki.algorithm.DependencyDerivator.Par: Sample size.
sampleSize - Variable in class elki.algorithm.DependencyDerivator: The number of samples to draw.
sampleSize - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Sample size.
sampleSize - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: The parameter sampleSizes
sampleSize - Variable in class elki.clustering.uncertain.FDBSCAN.Par: The size of samplesets that should be drawn for neighborcheck.
sampleSize - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance: The size of samplesets that should be drawn for neighborcheck.
sampleSize - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: The size of samplesets that should be drawn for neighborcheck.
sampleSize - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate: The size of samplesets that should be drawn for neighborcheck.
sampleSize - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Sample size
sampleSize - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory: Sample size
sampleSize - Variable in class elki.index.tree.metrical.vptree.VPTree: Sample size for selecting vantage points
SAMPLESIZE_ID - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Sample size.
SAMPLESIZE_ID - Static variable in class elki.clustering.kmedoids.CLARA.Par: The sample size.
SAMPLESIZE_ID - Static variable in class elki.clustering.kmedoids.FastCLARA.Par: The sample size.
SAMPLESIZE_ID - Static variable in class elki.clustering.kmedoids.FasterCLARA.Par: The sample size.
sampling - Variable in class elki.algorithm.statistics.AveragePrecisionAtK: Relative number of object to use in sampling.
sampling - Variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Sampling rate.
sampling - Variable in class elki.algorithm.statistics.DistanceQuantileSampler: Sampling rate.
sampling - Variable in class elki.algorithm.statistics.DistanceStatisticsWithClasses: Sampling flag.
sampling - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Relative number of object to use in sampling.
sampling - Variable in class elki.application.benchmark.KNNBenchmark: Sampling size.
sampling - Variable in class elki.application.benchmark.PrioritySearchBenchmark: Sampling size.
sampling - Variable in class elki.application.benchmark.RangeQueryBenchmark: Sampling size.
sampling - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex: Sampling size.
sampling - Variable in class elki.application.statistics.RangeQuerySelectivity: Relative number of object to use in sampling.
sampling - Variable in class elki.clustering.kmedoids.CLARA.Par: Sampling rate.
sampling - Variable in class elki.clustering.kmedoids.CLARA: Sampling rate.
sampling - Variable in class elki.clustering.kmedoids.FastCLARA.Par: Sampling rate.
sampling - Variable in class elki.clustering.kmedoids.FastCLARA: Sampling rate.
sampling - Variable in class elki.clustering.kmedoids.FasterCLARA.Par: Sampling rate.
sampling - Variable in class elki.clustering.kmedoids.FasterCLARA: Sampling rate.
SAMPLING_ID - Static variable in class elki.algorithm.KNNDistancesSampler.Par: Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.
SAMPLING_ID - Static variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Sampling rate.
SAMPLING_ID - Static variable in class elki.visualization.VisualizerParameterizer.Par: Parameter to set the sampling level
SAMPLINGL_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par: Sampling intensity level
samplingLevel - Variable in class elki.clustering.correlation.LMCLUS.Par: Sampling level
samplingLevel - Variable in class elki.clustering.correlation.LMCLUS: Number of sampling rounds to find a good split
SamplingResult - Class in elki.result: Wrapper for storing the current database sample.
SamplingResult(Relation<?>) - Constructor for class elki.result.SamplingResult: Constructor.
sanitizeName(String) - Static method in class elki.visualization.css.CSSClass: Return a sanitized version of the given string.
SAV_BORDER - Static variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: CSS class for a button border
SAV_BUTTON - Static variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: CSS class for a tool button
SAV_CROSS - Static variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: CSS class for a button cross
save() - Method in class elki.gui.util.SavedSettingsFile: Save the current data to the given file.
saveAsANY(Path, int, int, float) - Method in class elki.visualization.svg.SVGPlot: Save a file trying to auto-guess the file type.
saveAsEPS(Path) - Method in class elki.visualization.svg.SVGPlot: Transcode file to EPS.
saveAsJPEG(Path, int, int) - Method in class elki.visualization.svg.SVGPlot: Transcode file to JPEG.
saveAsJPEG(Path, int, int, float) - Method in class elki.visualization.svg.SVGPlot: Transcode file to JPEG.
saveAsPDF(Path) - Method in class elki.visualization.svg.SVGPlot: Transcode file to PDF.
saveAsPNG(Path, int, int) - Method in class elki.visualization.svg.SVGPlot: Transcode file to PNG.
saveAsPS(Path) - Method in class elki.visualization.svg.SVGPlot: Transcode file to PS.
saveAsSVG(Path) - Method in class elki.visualization.svg.SVGPlot: Save document into a SVG file.
saveCurrentPlot() - Method in class elki.visualization.gui.ResultWindow: Save/export the current plot.
saveCurrentPlot() - Method in class elki.visualization.gui.SimpleSVGViewer: Save/export the current plot.
SAVED_SETTINGS_FILENAME - Static variable in class elki.gui.minigui.MiniGUI: Filename for saved settings.
savedCombo - Variable in class elki.gui.minigui.MiniGUI: Combo box for saved settings.
savedCombo - Variable in class elki.gui.multistep.panels.SavedSettingsTabPanel: The combo box to use
SavedSettingsFile - Class in elki.gui.util: Class to manage saved settings in a text file.
SavedSettingsFile(String) - Constructor for class elki.gui.util.SavedSettingsFile: Constructor.
savedSettingsModel - Variable in class elki.gui.minigui.MiniGUI: Model to link the combobox with.
savedSettingsModel - Variable in class elki.gui.multistep.panels.SavedSettingsTabPanel: Settings combo box.
SavedSettingsTabPanel - Class in elki.gui.multistep.panels: Tab panel to manage saved settings.
SavedSettingsTabPanel(SavedSettingsFile, MultiStepGUI) - Constructor for class elki.gui.multistep.panels.SavedSettingsTabPanel: Constructor.
SavedSettingsTabPanel.SettingsComboboxModel - Class in elki.gui.multistep.panels: Class to interface between the saved settings list and a JComboBox
SaveOptionsPanel - Class in elki.visualization.savedialog: A component (JPanel) which can be displayed in the save dialog to show additional options when saving as JPEG or PNG.
SaveOptionsPanel(JFileChooser, int, int) - Constructor for class elki.visualization.savedialog.SaveOptionsPanel: Construct a new Save Options Panel.
scalarProduct(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Returns the scalar product (dot product) of two vectors, <v1,v2> = v1^T v2.
scale - Variable in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization: Boosting factor, and scaling coefficient.
scale - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Parameters: location and scale
scale - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: Parameters: location and scale
scale - Variable in class elki.math.statistics.distribution.KappaDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.KappaDistribution: Parameters: location and scale
scale - Variable in class elki.math.statistics.distribution.LogisticDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.LogisticDistribution: Parameters: location and scale
scale - Variable in class elki.math.statistics.distribution.LogLogisticDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.LogLogisticDistribution: Parameters: scale, location, and shape
scale - Variable in class elki.math.statistics.distribution.RayleighDistribution.Par: Parameters.
scale - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Scale.
scale - Variable in class elki.outlier.lof.KDEOS: Kernel scaling parameter.
scale - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par: Holds the value of RandomGeneratedReferencePoints.Par.SCALE_ID.
scale - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints: Holds the scaling factor.
scale - Variable in class elki.utilities.referencepoints.StarBasedReferencePoints.Par: Holds the value of StarBasedReferencePoints.Par.SCALE_ID.
scale - Variable in class elki.utilities.referencepoints.StarBasedReferencePoints: Scaling factor.
scale - Variable in class elki.visualization.opticsplot.OPTICSPlot: Scale to use
scale - Variable in class elki.visualization.silhouette.SilhouettePlot: Scale to use
scale(double) - Method in interface elki.projection.AffinityMatrix: Scale the whole matrix with a constant factor d.
scale(double) - Method in class elki.projection.DenseAffinityMatrix
scale(double) - Method in class elki.projection.SparseAffinityMatrix
scale(double, double, double) - Method in enum elki.visualization.style.ClusterStylingPolicy.IntensityTransform: Additional scaling with minimum and maximum (default: none).
SCALE - Variable in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction: Scaling factor.
SCALE - Static variable in interface elki.visualization.projections.Projection: Scaling constant.
SCALE - Static variable in interface elki.visualization.style.StyleLibrary: Scaling constant.
SCALE_ID - Static variable in interface elki.math.statistics.distribution.Distribution.Parameterizer: Scale parameter.
SCALE_ID - Static variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par: Parameter for additional scaling of the space, to allow out-of-space reference points.
SCALE_ID - Static variable in class elki.utilities.referencepoints.StarBasedReferencePoints.Par: Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
scaleBottom - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Remaining points are likely identical.
SCALEDLINEAR - elki.visualization.style.ClusterStylingPolicy.IntensityTransform
scaledmax - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling: Maximum after scaling
scaledmin - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling: Minimum after scaling
scaleFromPixel(double) - Method in class elki.visualization.opticsplot.OPTICSPlot: Scale a pixel value to a reachability
scaleFromPixel(double) - Method in class elki.visualization.silhouette.SilhouettePlot: Scale a pixel value to a silhouette value
scales - Variable in class elki.result.ScalesResult: The scales in use.
scales - Variable in class elki.visualization.projections.AbstractProjection: Scales in data set
scales - Variable in class elki.visualization.projections.SimpleParallel: Scales
Scales - Class in elki.math.scales: Scales helper class.
Scales() - Constructor for class elki.math.scales.Scales: Fake constructor.
ScalesResult - Class in elki.result: Class to keep shared scales across visualizers.
ScalesResult(Relation<? extends SpatialComparable>) - Constructor for class elki.result.ScalesResult: Constructor.
ScalesResult(LinearScale[]) - Constructor for class elki.result.ScalesResult: Constructor.
scaleToDist(int) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree: Convert a scaling factor to a distance.
scaleToPixel(double) - Method in class elki.visualization.opticsplot.OPTICSPlot: Scale a reachability distance to a pixel value.
scaleToPixel(double) - Method in class elki.visualization.silhouette.SilhouettePlot: Scale a silhouette score to a pixel value.
scaleval - Variable in class elki.utilities.scaling.outlier.MultiplicativeInverseScaling: Scaling value, set by MultiplicativeInverseScaling.prepare(elki.result.outlier.OutlierResult).
scaling - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Scaling function.
scaling - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores: Scaling function.
scaling - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Outlier scaling to apply to constructed ensembles.
scaling - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Outlier scaling to apply to constructed ensembles.
scaling - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: Scaling function to use
scaling - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram: Scaling function to use
scaling - Variable in class elki.evaluation.outlier.JudgeOutlierScores.Par: Scaling function to use
scaling - Variable in class elki.evaluation.outlier.JudgeOutlierScores: Scaling function to use
scaling - Variable in class elki.evaluation.outlier.OutlierThresholdClustering.Par: Scaling function to use
scaling - Variable in class elki.evaluation.outlier.OutlierThresholdClustering: Scaling function to use
scaling - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par: Scaling function to use
scaling - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: Scaling function to use
scaling - Static variable in class elki.math.linearalgebra.pca.weightfunctions.QuadraticStddevWeight: Scaling: at scaling * stddev the function will hit 0.0
scaling - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Scaling function to use
scaling - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore: Scaling function to use
scaling - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par: Scaling function to use
scaling - Variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm: Scaling function to use
scaling - Variable in class elki.result.KMLOutputHandler.Par: Scaling function
scaling - Variable in class elki.result.KMLOutputHandler: Scaling function
scaling - Variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par: Scaling function to use for Bubbles
SCALING_ID - Static variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Option ID for scaling class.
SCALING_ID - Static variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Scaling to apply to ensemble scores.
SCALING_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.evaluation.outlier.JudgeOutlierScores.Par: Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.evaluation.outlier.OutlierThresholdClustering.Par: Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par: OptionID for the scaling function to use
SCALING_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par: Parameter to specify a scaling function to use.
SCALING_ID - Static variable in class elki.result.KMLOutputHandler.Par: Parameter for scaling functions
SCALING_ID - Static variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par: Parameter for scaling functions
ScalingFunction - Interface in elki.utilities.scaling: Interface for scaling functions used, e.g., by outlier evaluation such as Histograms and visualization.
scalingreference - Variable in class elki.datasource.filter.transform.PerturbationFilter.Par: The option which reference to use for scaling the noise.
scalingreference - Variable in class elki.datasource.filter.transform.PerturbationFilter: Which reference to use for scaling the noise.
ScalingReference() - Constructor for enum elki.datasource.filter.transform.PerturbationFilter.ScalingReference
SCALINGREFERENCE_ID - Static variable in class elki.datasource.filter.transform.PerturbationFilter.Par: Parameter for selecting scaling reference.
scalingreferencevalues - Variable in class elki.datasource.filter.transform.PerturbationFilter: Stores the scaling reference in each dimension.
scan(HilOut.HilbertFeatures, int) - Method in class elki.outlier.distance.HilOut: Scan function performs a squential scan over the data.
scannedBytes - Variable in class elki.index.vafile.PartialVAFile.Statistics
scans - Variable in class elki.index.vafile.VAFile: Number of scans we performed.
ScatterPlotFactory - Class in elki.visualization.projector: Produce scatterplot projections.
ScatterPlotFactory(int) - Constructor for class elki.visualization.projector.ScatterPlotFactory: Constructor.
ScatterPlotFactory.Par - Class in elki.visualization.projector: Parameterization class.
ScatterPlotProjector<V extends SpatialComparable> - Class in elki.visualization.projector: ScatterPlotProjector is responsible for producing a set of scatterplot visualizations.
ScatterPlotProjector(Relation<V>, int) - Constructor for class elki.visualization.projector.ScatterPlotProjector: Constructor.
scheduleSetPlot(SVGPlot, SVGPlot) - Method in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Schedule a detach.
scheduleUpdate(Runnable) - Method in class elki.visualization.svg.SVGPlot: Schedule an update.
score - Variable in class elki.timeseries.ChangePoint: Score
score(int) - Method in class elki.outlier.density.HySortOD: Compute score according to hypercube neighborhood density.
SCORE_ID - Static variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: Parameter that specifies the object score pattern
ScoreEvaluation - Interface in elki.evaluation.scores: Compute ranking/scoring based evaluation measures.
ScoreEvaluation.Adapter - Interface in elki.evaluation.scores: Predicate to test whether an object is a true positive or false positive.
scorepattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore.Par: object score pattern
scorepattern - Variable in class elki.outlier.meta.ExternalDoubleOutlierScore: object score pattern
ScoreResult(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.EvaluateClustering.ScoreResult: Constructor.
ScoreResult(Collection<double[]>) - Constructor for class elki.evaluation.outlier.JudgeOutlierScores.ScoreResult: Constructor.
scores - Variable in class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStore: Scores to use for sorting.
scores - Variable in class elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStoreAndId: Scores to use for sorting.
scores - Variable in class elki.database.datastore.DataStoreUtil.AscendingByIntegerDataStore: Scores to use for sorting.
scores - Variable in class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStore: Scores to use for sorting.
scores - Variable in class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStoreAndId: Scores to use for sorting.
scores - Variable in class elki.database.datastore.DataStoreUtil.DescendingByIntegerDataStore: Scores to use for sorting.
scores - Variable in class elki.database.relation.RelationUtil.AscendingByDoubleRelation: Scores to use for sorting.
scores - Variable in class elki.database.relation.RelationUtil.DescendingByDoubleRelation: Scores to use for sorting.
scores - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter: Outlier score.
scores - Variable in class elki.result.outlier.OrderingFromRelation: Outlier scores.
scores - Variable in class elki.result.outlier.OutlierResult: Outlier scores.
scores - Variable in class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling: The actual scores
scores - Variable in class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling: The actual scores
ScoreType() - Constructor for enum elki.outlier.distance.HilOut.ScoreType
scratch - Variable in class elki.clustering.silhouette.PAMSIL.Instance: Scratch cluster mapping.
scratch - Variable in class elki.index.tree.metrical.vptree.VPTree.Builder: Scratch space for organizing the elements
scratch1 - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: Scratch itemset: antecedent.
scratch2 - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: Scratch itemset: consequent.
scratchit - Variable in class elki.index.tree.metrical.vptree.VPTree.Builder: Scratch iterator
screenheight - Variable in class elki.visualization.gui.overview.OverviewPlot: Screen size (used for thumbnail sizing)
screenwidth - Variable in class elki.visualization.gui.overview.OverviewPlot: Screen size (used for thumbnail sizing)
scroller - Variable in class elki.gui.util.TreePopup: Scroll pane, containing the tree.
SDO_ARROW - Static variable in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: CSS class for a button cross
SDO_BORDER - Static variable in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: CSS class for a button border
SDO_BUTTON - Static variable in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: CSS class for a tool button
search(DBIDRef) - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher.ByDBID
search(DBIDRef) - Method in class elki.database.query.distance.LinearScanPrioritySearcher.ByDBID
search(DBIDRef) - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup
search(DBIDRef) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
search(DBIDRef) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityDBIDSearcher
search(DBIDRef) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityDBIDSearcher
search(DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityDBIDSearcher
search(DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityDBIDSearcher
search(Itemset) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.ItemsetSearcher: Find an itemset, using binary search.
search(O) - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher.ByObject
search(O) - Method in class elki.database.query.distance.LinearScanPrioritySearcher.ByObject
search(O) - Method in class elki.database.query.ExactPrioritySearcher
search(O) - Method in interface elki.database.query.PrioritySearcher: Start search with a new object.
search(O) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePriorityObjectSearcher
search(O) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePriorityObjectSearcher
search(O) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPriorityObjectSearcher
search(O) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePriorityObjectSearcher
search(O) - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher
search(O) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher
search(O) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher
search(O) - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
search(O) - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
search(O, double) - Method in interface elki.database.query.PrioritySearcher: Priority search function.
searcher - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: Class to search for itemsets via binary search.
SebagSchonauer - Class in elki.itemsetmining.associationrules.interest: Sebag Schonauer interestingness measure.
SebagSchonauer() - Constructor for class elki.itemsetmining.associationrules.interest.SebagSchonauer: Constructor.
second - Variable in class elki.clustering.kmeans.AnnulusKMeans.Instance: Second nearest cluster.
second - Variable in class elki.clustering.kmeans.ShallotKMeans.Instance: Second nearest cluster.
second - Variable in class elki.clustering.kmedoids.CLARANS.Assignment: Distance to the second nearest medoid.
second - Variable in class elki.clustering.kmedoids.PAM.Instance: Distance to the second nearest medoid.
second - Variable in class elki.database.ids.integer.IntegerDBIDPair.Itr: State
second - Variable in class elki.database.ids.integer.IntegerDBIDPair: Second value in pair
second - Variable in class elki.utilities.pairs.DoubleDoublePair: second value
second - Variable in class elki.utilities.pairs.DoubleIntPair: second value
second - Variable in class elki.utilities.pairs.DoubleObjPair: Second object value
second - Variable in class elki.utilities.pairs.IntDoublePair: second value
second - Variable in class elki.utilities.pairs.IntIntPair: second value
second - Variable in class elki.utilities.pairs.Pair: Second value in pair
secondary - Variable in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Second nearest cluster.
secondary - Variable in class tutorial.clustering.SameSizeKMeans.Meta: Indexes: primary assignment (current or best), secondary assignment (second best or worst).
secondAssignments - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.Assignments: The assignments to the second routing object.
secondid - Variable in class elki.clustering.kmedoids.CLARANS.Assignment: Medoid id of the second closest.
seed - Variable in class elki.clustering.uncertain.FDBSCAN.Par: Random generator.
seed - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: Random generator.
seed - Variable in class elki.datasource.filter.transform.PerturbationFilter.Par: Seed for randomly shuffling the rows of the database.
seed - Variable in class elki.distance.RandomStableDistance: Seed for reproducible random.
seed - Variable in class elki.utilities.optionhandling.parameters.RandomParameter: Seed value, if used
seed - Variable in class elki.utilities.random.FastNonThreadsafeRandom: The random seed.
seed - Variable in class elki.utilities.random.RandomFactory: Seed.
SEED_ID - Static variable in class elki.algorithm.KNNDistancesSampler.Par: Random generator seed for distances.
SEED_ID - Static variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: Random generator seed.
SEED_ID - Static variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: Parameter to specify the random generator seed.
SEED_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Random seed.
SEED_ID - Static variable in class elki.clustering.correlation.ORCLUS.Par: Parameter to specify the random generator seed.
SEED_ID - Static variable in class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par: Parameter to specify the random generator seed.
SEED_ID - Static variable in interface elki.clustering.kmeans.KMeans: Parameter to specify the random generator seed.
SEED_ID - Static variable in class elki.clustering.subspace.PROCLUS.Par: Parameter to specify the random generator seed.
SEED_ID - Static variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: Seed for random sample draw.
SEED_ID - Static variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par: Option ID for random seed
SEED_ID - Static variable in class elki.datasource.filter.selection.ShuffleObjectsFilter.Par: Optional parameter to specify a seed for randomly shuffling the rows of the database.
SEED_ID - Static variable in class elki.datasource.filter.transform.HistogramJitterFilter.Par: Option ID for the jitter random seed.
SEED_ID - Static variable in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Par: Optional parameter to specify a seed for random projection.
SEED_ID - Static variable in class elki.datasource.filter.transform.PerturbationFilter.Par: Optional parameter to specify a seed for random Gaussian noise generation.
SEED_ID - Static variable in class elki.datasource.filter.typeconversions.UncertainifyFilter.Par: Seed for random generation.
SEED_ID - Static variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Random generator seed.
SEED_ID - Static variable in class elki.evaluation.classification.holdout.RandomizedHoldout.Par: Random seeding for holdout evaluation.
SEED_ID - Static variable in class elki.index.laesa.LAESA.Factory.Par: Random generator to use
SEED_ID - Static variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par: Parameter to specify the random number generator.
SEED_ID - Static variable in class elki.index.tree.metrical.vptree.GNAT.Factory.Par: Parameter to specify the random generator seed
SEED_ID - Static variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Parameter to specify the rnd generator seed
SEED_ID - Static variable in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par: Random seed
SEED_ID - Static variable in class elki.math.statistics.dependence.HiCSDependence.Par: Parameter that specifies the random seed.
SEED_ID - Static variable in class elki.math.statistics.dependence.MCDEDependence.Par: Parameter that specifies the random seed.
SEED_ID - Static variable in class elki.outlier.density.IsolationForest.Par: Parameter to specify the seed to initialize Random.
SEED_ID - Static variable in class elki.outlier.lof.ALOCI.Par: Parameter to specify the seed to initialize Random.
SEED_ID - Static variable in class elki.outlier.meta.FeatureBagging.Par: The parameter to specify the random seed.
SEED_ID - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par: Parameter to specify the random generator seed.
seek(int) - Method in interface elki.database.ids.DBIDArrayIter
seek(int) - Method in interface elki.database.ids.DBIDArrayMIter
seek(int) - Method in interface elki.database.ids.DoubleDBIDListIter
seek(int) - Method in interface elki.database.ids.DoubleDBIDListMIter
seek(int) - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
seek(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
seek(int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
seek(int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
seek(int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
seek(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
seek(int) - Method in interface elki.database.ids.integer.DoubleIntegerDBIDListIter
seek(int) - Method in interface elki.database.ids.integer.DoubleIntegerDBIDListMIter
seek(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
seek(int) - Method in class elki.database.ids.integer.IntegerDBID.Itr
seek(int) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
seek(int) - Method in class elki.database.ids.integer.IntegerDBIDPair.Itr
seek(int) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
seek(int) - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
seek(int) - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
seek(int) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
seek(int) - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
seek(int) - Method in class elki.evaluation.scores.adapter.DecreasingVectorIter
seek(int) - Method in class elki.evaluation.scores.adapter.IncreasingVectorIter
seek(int) - Method in class elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter
seek(int) - Method in class elki.utilities.datastructures.histogram.DoubleHistogram.Iter
seek(int) - Method in class elki.utilities.datastructures.histogram.ObjHistogram.Iter
seek(int) - Method in interface elki.utilities.datastructures.iterator.ArrayIter: Moves the iterator to the given position
seek(int) - Method in class elki.utilities.datastructures.iterator.ArrayListIter
SEG_UNPAIRED_SELECTED_CLASS - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: CSS class of selected Segment
Segment - Class in elki.evaluation.clustering.pairsegments: A segment represents a set of pairs that share the same clustering properties.
Segment(int) - Constructor for class elki.evaluation.clustering.pairsegments.Segment: Constructor.
Segment(int[]) - Constructor for class elki.evaluation.clustering.pairsegments.Segment: Constructor.
SEGMENT_MIN_ANGLE - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Minimum width (radian) of Segment
SEGMENT_MIN_SEP_ANGLE - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Gap (radian) between segments
segmentClick(Segment, Event, boolean) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
segmentHover(Segment, int, boolean) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
SegmentListenerProxy(Segment, int) - Constructor for class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Constructor.
segments - Variable in class elki.evaluation.clustering.pairsegments.Segments: The actual segments
segments - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Segmentation of Clusterings
segments - Variable in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: The segments we use for visualization
Segments - Class in elki.evaluation.clustering.pairsegments: Creates segments of two or more clusterings.
Segments(List<Clustering<?>>) - Constructor for class elki.evaluation.clustering.pairsegments.Segments: Initialize segments.
SegmentsStylingPolicy - Class in elki.visualization.visualizers.pairsegments: Styling policy to communicate the segment selection to other visualizers.
SegmentsStylingPolicy(Segments) - Constructor for class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Constructor.
segmentToElements - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Map to connect segments to their visual elements
selbg - Variable in class elki.gui.util.TreePopup.Renderer: Colors
selcss - Variable in class elki.visualization.gui.overview.OverviewPlot: The CSS class used on "selectable" rectangles.
select(Segment, boolean) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Adds or removes the given segment to the selection.
select(SameSizeKMeans.Meta) - Method in class tutorial.clustering.SameSizeKMeans.PreferenceComparator: Set the meta to sort by
select_working_set(int[]) - Method in class elki.svm.solver.NuSolver
select_working_set(int[]) - Method in class elki.svm.solver.Solver
SELECTAXISVISIBILITY - Static variable in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance: Generic tags to indicate the type of element.
selectColumn(int, boolean) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Select or deselect a column.
SELECTDIMENSIONORDER - Static variable in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: Generic tags to indicate the type of element.
selected - Variable in class elki.gui.minigui.MiniGUI.SettingsComboboxModel: Selected entry.
selected - Variable in class elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel: Selected entry
selected - Variable in class elki.utilities.datastructures.KuhnMunkres: Number of selected zeros.
SELECTED - Static variable in interface elki.clustering.biclustering.ChengAndChurch.CellVisitor: Different modes of operation.
SELECTED_ATTRIBUTES_ID - Static variable in class elki.data.projection.FeatureSelection.Par: Selected attributes parameter.
SELECTED_ATTRIBUTES_ID - Static variable in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Par: Selected attributes parameter.
SELECTED_ATTRIBUTES_ID - Static variable in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Par: The parameter listing the split dimensions.
selectedAttributes - Variable in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Par: Selected attributes.
selectedAttributes - Variable in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter: Keeps the selection of the subspace to project onto.
selectedAttributes - Variable in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter: The selected attributes.
selecteddim - Variable in class elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance: Currently selected dimension.
SELECTEDHULL - Static variable in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance: Generic tag to indicate the type of element.
selectedIds - Variable in class elki.result.DBIDSelection: Selected IDs
selectedSegments - Variable in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Selected segments
selection - Variable in class elki.result.SelectionResult: The actual selection
selection - Variable in class elki.visualization.VisualizerContext: Selection result
SELECTION - Static variable in interface elki.visualization.style.StyleLibrary: Selection color and opacity
SELECTION_ACTIVE - Static variable in interface elki.visualization.style.StyleLibrary: Selection color and opacity during selecting process
SelectionAxisRangeVisualization - Class in elki.visualization.visualizers.parallel.selection: Visualizer for generating an SVG-Element representing the selected range.
SelectionAxisRangeVisualization() - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization: Constructor.
SelectionAxisRangeVisualization.Instance - Class in elki.visualization.visualizers.parallel.selection: Instance
SelectionConvexHullVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Visualizer for generating an SVG-Element containing the convex hull of the selected points
SelectionConvexHullVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization: Constructor
SelectionConvexHullVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance
SelectionCubeVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Visualizer for generating an SVG-Element containing a cube as marker representing the selected range for each dimension
SelectionCubeVisualization(SelectionCubeVisualization.Par) - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization: Constructor.
SelectionCubeVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance.
SelectionCubeVisualization.Par - Class in elki.visualization.visualizers.scatterplot.selection: Parameterization class.
SelectionDotVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Visualizer for generating an SVG-Element containing dots as markers representing the selected Database's objects.
SelectionDotVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization: Constructor
SelectionDotVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance
SelectionLineVisualization - Class in elki.visualization.visualizers.parallel.selection: Visualizer for generating SVG-Elements representing the selected objects
SelectionLineVisualization() - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization: Constructor.
SelectionLineVisualization.Instance - Class in elki.visualization.visualizers.parallel.selection: Instance
SelectionResult - Class in elki.result: Selection result wrapper.
SelectionResult() - Constructor for class elki.result.SelectionResult: Constructor.
SelectionTableWindow - Class in elki.visualization.gui: Visualizes selected Objects in a JTable, objects can be selected, changed and deleted
SelectionTableWindow(VisualizerContext) - Constructor for class elki.visualization.gui.SelectionTableWindow: The actual visualization instance, for a single projection
SelectionTableWindow.DatabaseTableModel - Class in elki.visualization.gui: View onto the database
SelectionToolAxisRangeVisualization - Class in elki.visualization.visualizers.parallel.selection: Tool-Visualization for the tool to select axis ranges
SelectionToolAxisRangeVisualization() - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization: Constructor.
SelectionToolAxisRangeVisualization.Instance - Class in elki.visualization.visualizers.parallel.selection: Instance
SelectionToolCubeVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Tool-Visualization for the tool to select ranges.
SelectionToolCubeVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization: Constructor.
SelectionToolCubeVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance.
SelectionToolDotVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Tool-Visualization for the tool to select objects
SelectionToolDotVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization: Constructor.
SelectionToolDotVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance
SelectionToolDotVisualization.Mode - Enum in elki.visualization.visualizers.scatterplot.selection: Input modes
SelectionToolLineVisualization - Class in elki.visualization.visualizers.parallel.selection: Tool-Visualization for the tool to select objects
SelectionToolLineVisualization() - Constructor for class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization: Constructor.
SelectionToolLineVisualization.Instance - Class in elki.visualization.visualizers.parallel.selection: Instance.
SelectionToolLineVisualization.Mode - Enum in elki.visualization.visualizers.parallel.selection: Input modes
selectivity(double) - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Returns the selectivity of this unit, which is defined as the fraction of total feature vectors contained in this unit.
selectRow(int, boolean) - Method in class elki.clustering.biclustering.ChengAndChurch.BiclusterCandidate: Select or deselect a row.
selectSegment(Segment) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Select a segment
selfg - Variable in class elki.gui.util.TreePopup.Renderer: Colors
selflink(int) - Method in class elki.svm.qmatrix.CachedQMatrix: Link an element to itself only.
SELFPAIR_ID - Static variable in class elki.evaluation.clustering.EvaluateClustering.Par: Parameter flag to disable self-pairing
selfPairing - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Self pairing
selfPairing - Variable in class elki.evaluation.clustering.EvaluateClustering.Par: Use self-pairing in pair-counting measures
selfPairing - Variable in class elki.evaluation.clustering.EvaluateClustering: Use self-pairing in pair-counting measures
send - Variable in class elki.utilities.io.Tokenizer: Substring to process.
sensitivityThreshold - Variable in class elki.clustering.correlation.LMCLUS: The current threshold value calculated by the findSeperation Method.
sep - Variable in class elki.clustering.kmeans.HamerlyKMeans.Instance: Separation of means / distance moved.
sep - Variable in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance: Cluster separation
sep - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance: Separation of means / distance moved.
sep - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance: Cluster separation
Separation() - Constructor for class elki.clustering.correlation.LMCLUS.Separation
SEPARATOR - Static variable in class elki.result.textwriter.TextWriterStream: String to separate different entries while printing.
separatorPattern - Variable in class elki.data.HierarchicalClassLabel: Holds the Pattern to separate different levels parsing input.
separatorString - Variable in class elki.data.HierarchicalClassLabel: A String to separate different levels in a String representation of this HierarchicalClassLabel.
seq - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Merge id of the cluster for prototype identification.
seq - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Merge id of the cluster for prototype identification.
sequence(int) - Static method in class elki.data.projection.random.RandomSubsetProjectionFamily: Generate the integer sequence 0 .. e-1
sequence(int, int) - Static method in class elki.math.MathUtil: Generate an array of integers.
SER_MARKER - Static variable in class elki.result.textwriter.TextWriterStream: Marker used in text serialization (and re-parsing)
serialize() - Method in class elki.utilities.optionhandling.parameterization.ListParameterization: Serialize parameters.
serialize(StringBuilder) - Method in class elki.visualization.css.CSSClassManager: Serialize managed CSS classes to rule file.
SerializedParameterization - Class in elki.utilities.optionhandling.parameterization: Manage a parameterization serialized as String array, e.g., from command line.
SerializedParameterization() - Constructor for class elki.utilities.optionhandling.parameterization.SerializedParameterization: Constructor
SerializedParameterization(String...) - Constructor for class elki.utilities.optionhandling.parameterization.SerializedParameterization: Constructor
SerializedParameterization(List<String>) - Constructor for class elki.utilities.optionhandling.parameterization.SerializedParameterization: Constructor
serializeParameters() - Method in class elki.gui.multistep.MultiStepGUI: Get the serialized parameters
serializeParameters(ArrayList<String>) - Method in class elki.gui.util.DynamicParameters: Serialize parameters into an array list to pass to setParameters()
serializer - Variable in class elki.data.type.SimpleTypeInformation: Type serializer.
Serializer() - Constructor for class elki.data.LabelList.Serializer
Serializer() - Constructor for class elki.data.SimpleClassLabel.Serializer
SERIALIZER - Static variable in class elki.data.LabelList: Serializer.
SERIALIZER - Static variable in class elki.data.SimpleClassLabel: Serializer.
serializeTo(StringBuilder) - Method in class elki.utilities.datastructures.range.CombinedIntGenerator
serializeTo(StringBuilder) - Method in class elki.utilities.datastructures.range.ExponentialIntGenerator
serializeTo(StringBuilder) - Method in interface elki.utilities.datastructures.range.IntGenerator: Produce a textual representation.
serializeTo(StringBuilder) - Method in class elki.utilities.datastructures.range.LinearIntGenerator
serializeTo(StringBuilder) - Method in class elki.utilities.datastructures.range.StaticIntGenerator
serialVersionUID - Static variable in exception elki.application.greedyensemble.ComputeKNNOutlierScores.TimeoutException: Serialization version
serialVersionUID - Static variable in class elki.clustering.correlation.cash.CASHInterval: Serial version number.
serialVersionUID - Static variable in class elki.data.Bit: Generated serial version UID.
serialVersionUID - Static variable in class elki.data.HyperBoundingBox: Serial version.
serialVersionUID - Static variable in class elki.data.ModifiableHyperBoundingBox: Serial version.
serialVersionUID - Static variable in exception elki.data.type.NoSupportedDataTypeException: Serial version.
serialVersionUID - Static variable in exception elki.database.datastore.ObjectNotFoundException: Serial version
serialVersionUID - Static variable in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Serial version
serialVersionUID - Static variable in class elki.datasource.bundle.BundleMeta: Serial version
serialVersionUID - Static variable in exception elki.datasource.filter.normalization.NonNumericFeaturesException: Generated serial version UID.
serialVersionUID - Static variable in class elki.gui.configurator.ConfiguratorPanel: Serial version
serialVersionUID - Static variable in class elki.gui.minigui.MiniGUI.SettingsComboboxModel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.AlgorithmTabPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.EvaluationTabPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.InputTabPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.LoggingTabPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.OutputTabPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.multistep.panels.ParameterTabPanel: Serial version
serialVersionUID - Static variable in class elki.gui.multistep.panels.SavedSettingsTabPanel: Serial version
serialVersionUID - Static variable in class elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel: Serial version
serialVersionUID - Static variable in class elki.gui.util.ClassTree.ClassNode: Serial version
serialVersionUID - Static variable in class elki.gui.util.ClassTree.PackageNode: Serial version
serialVersionUID - Static variable in class elki.gui.util.LogPane: Serialization version number
serialVersionUID - Static variable in class elki.gui.util.LogPanel: Serial
serialVersionUID - Static variable in class elki.gui.util.ParametersModel: Serial version
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.AdjustingEditor: Serial version
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.ClassListEditor: Serial version number
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.ColorfulRenderer: Serial Version
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.DispatchingPanel: Serial version.
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.DropdownEditor: Serial Version
serialVersionUID - Static variable in class elki.gui.util.ParameterTable.FileNameEditor: Serial version number
serialVersionUID - Static variable in class elki.gui.util.ParameterTable: Serial version
serialVersionUID - Static variable in class elki.gui.util.TreePopup.Renderer: Serial version
serialVersionUID - Static variable in class elki.gui.util.TreePopup: Serialization version.
serialVersionUID - Static variable in class elki.index.preprocessed.knn.KNNChangeEvent: Serialization ID since Java EventObjects are expected to be serializable.
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Serial version UID
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Serial Version UID
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Serialization version number.
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Serialization version ID.
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Serial version UID
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Serial version UID
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Serial version number
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode: Serial version
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.mtree.MTreeNode: Serial version
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Serialization version.
serialVersionUID - Static variable in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Serialization version ID.
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Serial version
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
serialVersionUID - Static variable in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode
serialVersionUID - Static variable in class elki.index.tree.spatial.SpatialDirectoryEntry: Serialization version.
serialVersionUID - Static variable in class elki.index.tree.spatial.SpatialPointLeafEntry: Serial version.
serialVersionUID - Static variable in class elki.logging.ELKILogRecord: Serial Version UID
serialVersionUID - Static variable in class elki.logging.Logging.Level: Serial version.
serialVersionUID - Static variable in class elki.logging.progress.ProgressLogRecord: Serial version
serialVersionUID - Static variable in class elki.math.linearalgebra.LUDecomposition: Serial version
serialVersionUID - Static variable in class elki.math.linearalgebra.QRDecomposition: Serial version
serialVersionUID - Static variable in class elki.persistent.AbstractExternalizablePage: Serial version
serialVersionUID - Static variable in class elki.persistent.OnDiskArray: Serial version.
serialVersionUID - Static variable in class elki.persistent.OnDiskUpperTriangleMatrix: Serial number, also used for generating a magic
serialVersionUID - Static variable in exception elki.utilities.exceptions.AbortException: Serial UID.
serialVersionUID - Static variable in exception elki.utilities.exceptions.APIViolationException: Serial version
serialVersionUID - Static variable in exception elki.utilities.exceptions.ClassInstantiationException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.exceptions.EmptyDataException: Serial version
serialVersionUID - Static variable in exception elki.utilities.exceptions.IncompatibleDataException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.exceptions.InconsistentDataException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.exceptions.MissingPrerequisitesException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.exceptions.NotImplementedException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.exceptions.TooManyRetriesException: Serial version.
serialVersionUID - Static variable in exception elki.utilities.io.ParseUtil.PreallocatedException: Serialization version ID.
serialVersionUID - Static variable in exception elki.utilities.optionhandling.ParameterException: Serialization version
serialVersionUID - Static variable in exception elki.utilities.optionhandling.UnspecifiedParameterException: Serial UID
serialVersionUID - Static variable in exception elki.utilities.optionhandling.WrongParameterValueException: Generated serial version UID.
serialVersionUID - Static variable in class elki.utilities.random.FastNonThreadsafeRandom: Serial version number.
serialVersionUID - Static variable in class elki.utilities.random.Xoroshiro128NonThreadsafeRandom: Serial version number.
serialVersionUID - Static variable in class elki.utilities.random.XorShift1024NonThreadsafeRandom: Serial version number.
serialVersionUID - Static variable in class elki.utilities.random.XorShift64NonThreadsafeRandom: Serial version number.
serialVersionUID - Static variable in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Serial version number.
serialVersionUID - Static variable in exception elki.visualization.css.CSSClass.InvalidCSS: Serial version UID.
serialVersionUID - Static variable in exception elki.visualization.css.CSSClassManager.CSSNamingConflict: Serial version UID
serialVersionUID - Static variable in class elki.visualization.gui.overview.DetailViewSelectedEvent: Serial version
serialVersionUID - Static variable in class elki.visualization.gui.ResultWindow: Serial version
serialVersionUID - Static variable in class elki.visualization.gui.ResultWindow.TextWriterPanel: Serial version.
serialVersionUID - Static variable in class elki.visualization.gui.SelectionTableWindow.DatabaseTableModel: Serial version
serialVersionUID - Static variable in class elki.visualization.gui.SelectionTableWindow: Serial version
serialVersionUID - Static variable in class elki.visualization.gui.SimpleSVGViewer: Serial version
serialVersionUID - Static variable in class elki.visualization.savedialog.SaveOptionsPanel: Serial version.
SERIESID - Static variable in class elki.visualization.visualizers.visunproj.HistogramVisualization: CSS class name for the series.
SERIESID - Static variable in class elki.visualization.visualizers.visunproj.XYCurveVisualization: SVG class name for plot line
SERIESID - Static variable in class elki.visualization.visualizers.visunproj.XYPlotVisualization: SVG class name for plot line
sers - Variable in class elki.datasource.bundle.BundleReader: Serializers to use.
set - Variable in class elki.evaluation.scores.adapter.DistanceResultAdapter: Set of positive examples.
set - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter: Set of positive objects
set - Variable in class elki.evaluation.scores.adapter.SimpleAdapter: Set of positive examples.
set(double) - Method in class elki.parallel.variables.SharedDouble.Instance: Set the variables value.
set(int) - Method in class elki.outlier.meta.HiCS.HiCSSubspace: Set a bit in the subspace.
set(int) - Method in class elki.parallel.variables.SharedInteger.Instance: Set the variables value.
set(int, double) - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Set the value at this position.
set(int, double, double) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfPosPositions
set(int, double, double) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfWidthPositions
set(int, double, double) - Method in interface elki.visualization.visualizers.visunproj.DendrogramVisualization.Positions: Set the initial position
set(int, int) - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Set the value at this position.
set(int, int, int, int, int, int) - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle: Update the triangle.
set(int, DBIDRef) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Replace the i'th entry (starting at 0)
set(int, DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
set(SpatialComparable) - Method in class elki.data.ModifiableHyperBoundingBox: Set the bounding box to the same as some other spatial object.
set(DBIDRef) - Method in interface elki.database.ids.DBIDVar: Assign a new value for the reference.
set(DBIDRef) - Method in class elki.database.ids.integer.IntegerDBIDVar
set(DBIDRef, double) - Method in interface elki.database.relation.DoubleRelation: Set an object representation.
set(DBIDRef, double) - Method in class elki.database.relation.MaterializedDoubleRelation
set(DBIDRef, int, T) - Method in class elki.database.datastore.memory.ArrayRecordStore: Actual setter
set(DBIDRef, int, T) - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore: Actual setter.
set(DBIDRef, int, T) - Method in class elki.database.datastore.memory.MapRecordStore: Actual setter.
set(Double) - Method in class elki.parallel.variables.SharedDouble.Instance: Deprecated.
use SharedDouble.Instance.set(double)!
set(Integer) - Method in class elki.parallel.variables.SharedInteger.Instance: Deprecated.
use SharedInteger.Instance.set(int)!
set(T) - Method in class elki.parallel.variables.SharedObject.Instance
set(T) - Method in interface elki.parallel.variables.SharedVariable.Instance: Set a new value
SET - Static variable in class elki.utilities.optionhandling.parameters.Flag: Constant indicating that the flag is set.
set_weights(double, double) - Method in class elki.svm.AbstractSingleSVM
set_weights(double, double) - Method in class elki.svm.CSVC
setActualMaximum(double) - Method in class elki.result.outlier.BasicOutlierScoreMeta
setActualMinimum(double) - Method in class elki.result.outlier.BasicOutlierScoreMeta
setAtt(Element, String, double) - Static method in class elki.visualization.svg.SVGUtil: Set a SVG attribute
setAtt(Element, String, int) - Static method in class elki.visualization.svg.SVGUtil: Set a SVG attribute
setAtt(Element, String, String) - Static method in class elki.visualization.svg.SVGUtil: Set a SVG attribute
setAxes(double, double, double, double) - Method in class elki.math.geometry.XYCurve: Set the range of the plot.
setAxisInverted(int, boolean) - Method in interface elki.visualization.projections.ProjectionParallel: Set inversion flag of axis.
setAxisInverted(int, boolean) - Method in class elki.visualization.projections.SimpleParallel
setAxisVisible(int, boolean) - Method in interface elki.visualization.projections.ProjectionParallel: Set the visibility of the axis.
setAxisVisible(int, boolean) - Method in class elki.visualization.projections.SimpleParallel
setBulkStrategy(BulkSplit) - Method in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Set the bulk loading strategy.
setC(long, int) - Static method in class elki.utilities.datastructures.BitsUtil: Set bit number "off" in v.
setCached(String, String, T) - Method in class elki.visualization.style.PropertiesBasedStyleLibrary: Set a cache value
setCacheSize(int) - Method in class elki.persistent.LRUCache: Sets the maximum size of this cache.
setChild(int, AsClusterFeature) - Method in class elki.index.tree.betula.CFNode: Set child with index i to CF cf
setChild(AsClusterFeature) - Method in class elki.index.tree.betula.CFNode: Add a child without statistics
setClipping(double[], double[]) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Set a clipping box. min needs to be smaller than max in each component.
setCol(double[][], int, double[]) - Static method in class elki.math.linearalgebra.VMath: Sets the cth column of this matrix to the specified column.
setCompleted(Logging) - Method in class elki.logging.progress.IndefiniteProgress: Set the completion flag and log it
setCompleted(Logging) - Method in class elki.logging.progress.StepProgress: Mark the progress as completed and log it.
setCompleted(IndefiniteProgress) - Method in class elki.logging.Logging: Finish a progress (unless null).
setCompleted(StepProgress) - Method in class elki.logging.Logging: Finish a progress (unless null).
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Sets the conservative approximation line
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPEntry: Sets the conservative approximation line
setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Sets the conservative approximation line
setCovarianceMatrix(double[][]) - Method in class elki.data.model.EMModel
setCovarianceMatrixBuilder(CovarianceMatrixBuilder) - Method in class elki.math.linearalgebra.pca.PCARunner: Set covariance matrix builder.
setCoveringRadius(double) - Method in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Sets the covering radius of this entry.
setCoveringRadius(double) - Method in interface elki.index.tree.metrical.mtreevariants.MTreeEntry: Sets the covering radius of this entry if this entry is a directory entry, throws an UnsupportedOperationException otherwise.
setCoveringRadius(double) - Method in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Throws an UnsupportedOperationException, since a leaf entry has no covering radius.
setCSSClass(Element, String) - Static method in class elki.visualization.svg.SVGUtil: Set the CSS class of an Element.
setDBID(DBIDRef) - Method in interface elki.database.ids.DBIDArrayMIter: Set the current value.
setDBID(DBIDRef) - Method in class elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
setDBID(DBIDRef) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
setDBID(DBIDRef) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
setDBIDs(ArrayDBIDs) - Method in class elki.datasource.bundle.MultipleObjectsBundle: Set the DBID range for this bundle.
setDBIDs(DBIDs) - Method in class elki.database.ProxyDatabase: Set the DBIDs to use.
setDBIDs(DBIDs) - Method in class elki.database.relation.DBIDView: Set the DBIDs of the view.
setDBIDs(DBIDs) - Method in class elki.database.relation.ProxyView: Set the DBIDs to use.
SetDBIDs - Interface in elki.database.ids: Interface for DBIDs that support fast "set" operations, in particular "contains" lookups.
setDefaultHandlerVisualizer() - Static method in class elki.workflow.OutputStep: Set the default handler to the Batik addon visualizer, if available.
setDefaultHandlerWriter() - Static method in class elki.workflow.OutputStep: Set the default handler to the ResultWriter.
setDefaultLevel(Level) - Static method in class elki.logging.LoggingConfiguration: Set the default level.
setDefaultValue(T) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
setDefaultValue(T) - Method in interface elki.utilities.optionhandling.parameters.Parameter: Sets the default value of this parameter.
setDensityCorrection(double) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Set density correction factor.
setDimension(int) - Method in class elki.data.model.DimensionModel: Set cluster dimensionality
setDimension(int) - Method in class elki.data.spatial.SpatialSingleMaxComparator: Set the dimension to sort by.
setDimension(int) - Method in class elki.data.spatial.SpatialSingleMeanComparator: Set the dimension to sort by.
setDimension(int) - Method in class elki.data.spatial.SpatialSingleMinComparator: Set the dimension to sort by.
setDimension(int) - Method in class elki.data.VectorUtil.SortDBIDsBySingleDimension: Set the dimension to sort by.
setDimension(int) - Method in class elki.data.VectorUtil.SortVectorsBySingleDimension: Set the dimension to sort by.
setDimension(int) - Method in class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Sorter: Set the dimension to sort by.
setDimensionality(int) - Method in class elki.data.BitVector
setDimensionality(int) - Method in class elki.data.SparseByteVector: Sets the dimensionality to the new value.
setDimensionality(int) - Method in class elki.data.SparseDoubleVector: Sets the dimensionality to the new value.
setDimensionality(int) - Method in class elki.data.SparseFloatVector: Sets the dimensionality to the new value.
setDimensionality(int) - Method in class elki.data.SparseIntegerVector: Sets the dimensionality to the new value.
setDimensionality(int) - Method in interface elki.data.SparseNumberVector: Update the vector space dimensionality.
setDimensionality(int) - Method in class elki.data.SparseShortVector: Sets the dimensionality to the new value.
setDimInverted(int, boolean) - Method in interface elki.visualization.projections.ProjectionParallel: Set inversion flag of a dimension.
setDimInverted(int, boolean) - Method in class elki.visualization.projections.SimpleParallel
setDirty(boolean) - Method in class elki.persistent.AbstractExternalizablePage: Sets the dirty flag of this page.
setDirty(boolean) - Method in interface elki.persistent.Page: Sets the dirty flag of this page.
setDisableInteractions(boolean) - Method in class elki.visualization.svg.SVGPlot: Disable Batik predefined interactions.
setDistance(double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Set camera distance
setDistance(NumberVectorDistance<? super V>) - Method in class elki.clustering.kmeans.AbstractKMeans
setDistance(NumberVectorDistance<? super V>) - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
setDistance(NumberVectorDistance<? super V>) - Method in class elki.clustering.kmeans.BisectingKMeans
setDistance(NumberVectorDistance<? super V>) - Method in interface elki.clustering.kmeans.KMeans: Set the distance function to use.
setDocument(Document) - Method in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Deprecated.
Document cannot be synchronized - use JSVGSynchronizedCanvas.setPlot(elki.visualization.svg.SVGPlot) and a SVGPlot object!
setDouble(double) - Method in interface elki.database.ids.DoubleDBIDListMIter: Update the value at the current position.
setDouble(double) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
setDouble(double) - Method in class elki.logging.statistics.DoubleStatistic: Set the statistics.
setDrawingBounds(double, double, double, double) - Method in class elki.math.geometry.XYCurve: Set the drawing bounds of the plot.
setEmptyPagesSize(int) - Method in class elki.index.tree.TreeIndexHeader: Set the size required by the listing of empty pages.
setExpanded(DeLiCluEntry, DeLiCluEntry) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Marks the nodes with the specified ids as expanded.
setFill(double, double, double) - Method in class elki.visualization.svg.SVGScoreBar: Set the fill of the score bar.
setFirst(double) - Method in class elki.utilities.pairs.DoubleDoublePair: Set first value
setFirst(double) - Method in class elki.utilities.pairs.DoubleIntPair: Set first value
setFirst(int) - Method in class elki.utilities.pairs.IntDoublePair: Set first value
setFirst(int) - Method in class elki.utilities.pairs.IntIntPair: Set first value
setFirst(F) - Method in class elki.utilities.pairs.Pair: Setter for first
setFolderIcon(Icon) - Method in class elki.gui.util.TreePopup.Renderer: Set the folder icon.
setFormat(String) - Method in class elki.visualization.savedialog.SaveOptionsPanel
setHandled(DBIDRef, O) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Marks the specified object as handled and returns the path of node ids from the root to the objects's parent.
setHasHandled(boolean) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
setHasHandled(boolean) - Method in interface elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry: Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain handled data objects.
setHasHandled(boolean) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
setHasUnhandled(boolean) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
setHasUnhandled(boolean) - Method in interface elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry: Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain unhandled data objects.
setHasUnhandled(boolean) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
setHeight(double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Set camera height
setHeight(int) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Sets the height of this R*-Tree.
setI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Set bit number "off" in v.
setI(long[], long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Put o onto v in-place, i.e. v = o
setIDs(DBIDs) - Method in class elki.data.Cluster: Access group object
setInitialClusters(List<? extends Cluster<? extends MeanModel>>) - Method in class elki.clustering.kmeans.initialization.Predefined: Set the initial means.
setInitializer(KMeansInitialization) - Method in class elki.clustering.kmeans.AbstractKMeans
setInitializer(KMeansInitialization) - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
setInitializer(KMeansInitialization) - Method in class elki.clustering.kmeans.BisectingKMeans
setInitializer(KMeansInitialization) - Method in interface elki.clustering.kmeans.KMeans: Set the initialization method.
setInitialMeans(double[][]) - Method in class elki.clustering.kmeans.initialization.Predefined: Set the initial means.
setInitialMeans(List<double[]>) - Method in class elki.clustering.kmeans.initialization.Predefined: Set the initial means.
setInsertionStrategy(InsertionStrategy) - Method in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Set insertion strategy.
setInvertedRows(DBIDs) - Method in class elki.data.model.BiclusterWithInversionsModel: Sets the ids of the inverted rows.
setK(int) - Method in class elki.clustering.kmeans.AbstractKMeans
setK(int) - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
setK(int) - Method in class elki.clustering.kmeans.BisectingKMeans
setK(int) - Method in interface elki.clustering.kmeans.KMeans: Set the value of k.
setKnnDistance(double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
setKnnDistance(double) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxEntry: Sets the knn distance of the entry.
setKnnDistance(double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
setKnnDistance(double) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry
setKnnDistance(double) - Method in interface elki.index.tree.spatial.rstarvariants.rdknn.RdKNNEntry: Sets the knn distance of this entry.
setKnnDistance(double) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry
setKnnDistanceApproximation(PolynomialApproximation) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Sets the polynomial approximation.
setKnnDistanceApproximation(PolynomialApproximation) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppEntry: Sets the polynomial approximation.
setKnnDistanceApproximation(PolynomialApproximation) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Sets the polynomial approximation.
setKnnDistances(double[]) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
setKnnDistances(double[]) - Method in interface elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabEntry: Sets the knn distances of the entry.
setKnnDistances(double[]) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
setLargestPageID(int) - Method in class elki.index.tree.TreeIndexHeader
setLayout(Layout) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Callback from layouting thread.
setLeafIcon(Icon) - Method in class elki.gui.util.TreePopup.Renderer: Set the leaf icon
setLes(LinearEquationSystem) - Method in class elki.data.model.LinearEquationModel: Assign new Linear Equation System.
setLevelFor(String, String) - Static method in class elki.logging.LoggingConfiguration: Set the logging level for a particular package/class.
setLong(long) - Method in class elki.logging.statistics.LongStatistic: Set the statistics.
setLongName(String) - Method in class elki.result.Metadata: Set the long name of a result.
setLookAndFeel() - Static method in class elki.gui.GUIUtil: Setup look at feel.
SetMatchingPurity - Class in elki.evaluation.clustering: Set matching purity measures.
SetMatchingPurity(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.SetMatchingPurity: Constructor.
setMatrix(double[][], int[], int[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Set a submatrix.
setMatrix(double[][], int[], int, int, double[][]) - Static method in class elki.math.linearalgebra.VMath: Set a submatrix.
setMatrix(double[][], int, int, int[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Set a submatrix.
setMatrix(double[][], int, int, int, int, double[][]) - Static method in class elki.math.linearalgebra.VMath: Set a submatrix.
setMax(int, double) - Method in class elki.data.ModifiableHyperBoundingBox: Set the maximum bound in dimension dimension to value value.
setMBR(ModifiableHyperBoundingBox) - Method in class elki.index.tree.spatial.SpatialDirectoryEntry: Sets the MBR of this entry.
setMessage(String) - Method in class elki.visualization.parallel3d.util.SimpleMessageOverlay
setMin(int, double) - Method in class elki.data.ModifiableHyperBoundingBox: Set the minimum bound in dimension dimension to value value.
setMinimumFill(double) - Method in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Set the relative minimum fill.
setModel(M) - Method in class elki.data.Cluster: Access model object
setName(String) - Method in class elki.data.Cluster: Set Cluster name
setName(String) - Method in class elki.visualization.css.CSSClass: Set the class name.
setNextPageID(int) - Method in class elki.persistent.AbstractStoringPageFile: Sets the next page id.
setNextPageID(int) - Method in class elki.persistent.LRUCache
setNextPageID(int) - Method in interface elki.persistent.PageFile: Sets the next page id.
setNextPageID(int) - Method in class elki.persistent.PersistentPageFile: Set the next page id to the given value.
setNodeSplitStrategy(SplitStrategy) - Method in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Set the node splitting strategy.
setNoise(boolean) - Method in class elki.data.Cluster: Setter for noise flag.
setOptional(boolean) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
setOptional(boolean) - Method in class elki.utilities.optionhandling.parameters.ObjectListParameter
setOptional(boolean) - Method in class elki.utilities.optionhandling.parameters.ObjectParameter
setOptional(boolean) - Method in interface elki.utilities.optionhandling.parameters.Parameter: Specifies if this parameter is an optional parameter.
setOptions(ArrayList<String>) - Method in class elki.visualization.parallel3d.util.SimpleMenuOverlay
setOverflowTreatment(OverflowTreatment) - Method in class elki.index.tree.spatial.rstarvariants.RTreeSettings: Set the overflow treatment strategy.
setPageID(int) - Method in class elki.persistent.AbstractExternalizablePage: Sets the unique id of this Page.
setPageID(int) - Method in interface elki.persistent.Page: Sets the unique id of this Page.
setPageID(P) - Method in class elki.persistent.AbstractStoringPageFile: Sets the id of the given page.
setPageID(P) - Method in class elki.persistent.LRUCache
setPageID(P) - Method in interface elki.persistent.PageFile: Sets the id of the given page.
setParameters(Parameterization) - Method in class elki.gui.multistep.MultiStepGUI: Set the parameters.
setParameters(Parameterization) - Method in class elki.gui.multistep.panels.ParameterTabPanel: Do the actual setParameters invocation.
setParentDistance(double) - Method in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Sets the distance from the object to its parent object.
setParentDistance(double) - Method in interface elki.index.tree.metrical.mtreevariants.MTreeEntry: Sets the distance from the routing object to routing object of its parent.
setParentDistance(double) - Method in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Sets the distance from the underlying data object to its parent's routing object.
setPartitions(Relation<V>) - Method in class elki.index.vafile.VAFile: Initialize the data set grid by computing quantiles.
setPCAResult(PCAFilteredResult) - Method in class elki.data.model.CorrelationModel: Assign new PCA result
setPlot(SVGPlot) - Method in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Choose a new plot to display.
setPlot(SVGPlot) - Method in class elki.visualization.gui.SimpleSVGViewer: Set the plot to show
setProcessed(int) - Method in class elki.logging.progress.AbstractProgress: Sets the number of items already processed at a time being.
setProcessed(int) - Method in class elki.logging.progress.FiniteProgress: Sets the number of items already processed at a time being.
setProcessed(int, Logging) - Method in class elki.logging.progress.AbstractProgress: Sets the number of items already processed at a time being.
setProgressiveKnnDistanceApproximation(ApproximationLine) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Sets the progressive approximation line
setRatio(double) - Method in class elki.visualization.gui.detail.DetailView: Set the plot ratio
setRatio(double) - Method in class elki.visualization.gui.overview.OverviewPlot
setRatio(double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Set screen ratio.
setReassignByDistance(boolean) - Method in class elki.data.synthetic.bymodel.GeneratorMain: Relabel objects by distance, instead of by density.
setReassignPattern(Pattern) - Method in class elki.data.synthetic.bymodel.GeneratorMain: Set the reassignment pattern.
setReversed(boolean) - Method in class elki.visualization.svg.SVGScoreBar: Set the reversed flag.
setRkNNReach(RKNNSearcher<DBIDRef>) - Method in class elki.outlier.lof.FlexibleLOF.LOFResult: Sets the RkNN query w.r.t. the reachability distance.
setRkNNRefer(RKNNSearcher<DBIDRef>) - Method in class elki.outlier.lof.FlexibleLOF.LOFResult: Sets the RkNN query w.r.t. the reference neighborhood distance.
setRotationZ(double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Set the z rotation angle in radians.
setRoutingObjectID(DBID) - Method in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Sets the id of the routing object of this entry.
setRoutingObjectID(DBID) - Method in interface elki.index.tree.metrical.mtreevariants.MTreeEntry: Sets the id of the underlying database object of this entry, if this entry is a leaf entry, the id of the routing object, otherwise.
setRoutingObjectID(DBID) - Method in class elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Throws an UnsupportedOperationException, as leaves may not have routing objects.
setRow(double[][], int, double[]) - Static method in class elki.math.linearalgebra.VMath: Sets the rth row of this matrix to the specified vector.
setRSquare(double) - Method in interface elki.svm.SVDD.RadiusAcceptor
setSample(DBIDs) - Method in class elki.result.SamplingResult: Note: trigger a resultchanged event!
setScale(int, LinearScale) - Method in class elki.result.ScalesResult: Set the scale for dimension dim (starting at 1!).
setSecond(double) - Method in class elki.utilities.pairs.DoubleDoublePair: Set second value
setSecond(double) - Method in class elki.utilities.pairs.IntDoublePair: Set second value
setSecond(int) - Method in class elki.utilities.pairs.DoubleIntPair: Set second value
setSecond(int) - Method in class elki.utilities.pairs.IntIntPair: Set second value
setSecond(S) - Method in class elki.utilities.pairs.Pair: Setter for second
setSeed(long) - Method in class elki.utilities.random.FastNonThreadsafeRandom
setSeed(long) - Method in class elki.utilities.random.Xoroshiro128NonThreadsafeRandom
setSeed(long) - Method in class elki.utilities.random.XorShift1024NonThreadsafeRandom
setSeed(long) - Method in class elki.utilities.random.XorShift64NonThreadsafeRandom
setSelectedAttributes(long[]) - Method in class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter: Sets the bits set to true in the given BitSet as selected attributes in NumberVectorFeatureSelectionFilter.Par.SELECTED_ATTRIBUTES_ID.
setSelectedDimensions(long[]) - Method in class elki.distance.subspace.AbstractDimensionsSelectingDistance
setSelectedDimensions(long[]) - Method in interface elki.distance.subspace.DimensionSelectingSubspaceDistance: Sets the selected dimensions according to the set bits in the given BitSet.
setSelectedDimensions(long[]) - Method in class elki.distance.subspace.OnedimensionalDistance: Deprecated.
setSelectedItem(Object) - Method in class elki.gui.minigui.MiniGUI.SettingsComboboxModel
setSelectedItem(Object) - Method in class elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel
setSelection(DBIDSelection) - Method in class elki.result.SelectionResult
setSelection(DBIDSelection) - Method in class elki.visualization.VisualizerContext: Set a new selection.
setSerializer(ByteBufferSerializer<? super T>) - Method in class elki.data.type.SimpleTypeInformation: Set the serializer for this type.
setSize(int, int) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Set the cluster size of an object.
setSize(int, int) - Method in class elki.visualization.parallel3d.util.AbstractSimpleOverlay: Set screen ratio.
setSourceClassName(String) - Method in class elki.logging.ELKILogRecord
setSourceMethodName(String) - Method in class elki.logging.ELKILogRecord
setStatement(String, double) - Method in class elki.visualization.css.CSSClass: Set a CSS statement.
setStatement(String, int) - Method in class elki.visualization.css.CSSClass: Set a CSS statement.
setStatement(String, String) - Method in class elki.visualization.css.CSSClass: Set a CSS statement.
setStatistics() - Static method in class elki.logging.LoggingConfiguration: Enable runtime performance logging.
setString(String) - Method in class elki.logging.statistics.StringStatistic: Set the value.
setStyle(Element, String) - Static method in class elki.visualization.svg.SVGUtil: Set a SVG style attribute
SetStyleAction(Clustering<?>, VisualizerContext) - Constructor for class elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction: Constructor.
setStyleLibrary(StyleLibrary) - Method in class elki.visualization.VisualizerContext: Get the style library
setStyleLibrary(StyleLibrary) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Assign the style library, for compatibility color styling.
setStylingPolicy(StylingPolicy) - Method in class elki.visualization.VisualizerContext: Set the active styling policy
setSVGRect(SVGPlot, Projection2D) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance: Generates a cube and a frame depending on the selection stored in the context
setTab - Variable in class elki.gui.multistep.MultiStepGUI: Saved settingspanel.
setTestAgainstModel(boolean) - Method in class elki.data.synthetic.bymodel.GeneratorMain: Set the value of the GeneratorMain.testAgainstModel flag.
SettingInformation(String, String, String) - Constructor for class elki.result.SettingsResult.SettingInformation: Constructor.
settings - Variable in class elki.clustering.correlation.COPAC.Par: COPAC settings.
settings - Variable in class elki.clustering.correlation.COPAC: Settings class.
settings - Variable in class elki.clustering.correlation.ERiC.Par: The settings to use.
settings - Variable in class elki.clustering.correlation.ERiC: ERiC Settings.
settings - Variable in class elki.clustering.correlation.FourC.Par: Settings storage.
settings - Variable in class elki.clustering.correlation.FourC.Settings.Par: Settings storage.
settings - Variable in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Par: COPAC settings.
settings - Variable in class elki.clustering.dbscan.predicates.COPACNeighborPredicate: COPAC parameters
settings - Variable in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Par: ERiC settings.
settings - Variable in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate: ERiC parameters
settings - Variable in class elki.clustering.dbscan.predicates.FourCCorePredicate.Instance: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.FourCCorePredicate.Par: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.FourCCorePredicate: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Par: 4C settings.
settings - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate: 4C settings class.
settings - Variable in class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Instance: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Par: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.PreDeConCorePredicate: The PreDeCon settings class.
settings - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Par: PreDeCon settings.
settings - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate: PreDeCon settings class.
settings - Variable in class elki.clustering.subspace.PreDeCon.Par: PreDeConSettings.
settings - Variable in class elki.clustering.subspace.PreDeCon.Settings.Par: Settings to build.
settings - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Tree settings.
settings - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par: Tree settings.
settings - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory: Tree settings.
settings - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Settings class.
settings - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory: Tree settings
settings - Variable in class elki.KDDTask.Par
settings - Variable in class elki.KDDTask: The settings used, for settings reporting.
settings - Variable in class elki.result.SettingsResult: Settings storage.
settings - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Settings
settings - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates: Settings
settings - Variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer: Settings
settings - Variable in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization: Settings
settings - Variable in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization: Settings
settings - Variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization: Settings
settings - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Settings
settings - Variable in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization: Current settings
settings - Variable in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization: Settings
settings - Variable in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization: Settings
Settings() - Constructor for class elki.clustering.correlation.COPAC.Settings
Settings() - Constructor for class elki.clustering.correlation.ERiC.Settings
Settings() - Constructor for class elki.clustering.correlation.FourC.Settings
Settings() - Constructor for class elki.clustering.subspace.PreDeCon.Settings
Settings() - Constructor for class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings
SettingsComboboxModel() - Constructor for class elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel: Constructor
SettingsComboboxModel(SavedSettingsFile) - Constructor for class elki.gui.minigui.MiniGUI.SettingsComboboxModel: Constructor.
SettingsResult - Class in elki.result: Result that keeps track of settings that were used in generating this particular result.
SettingsResult(Collection<TrackedParameter>) - Constructor for class elki.result.SettingsResult: Constructor.
SettingsResult.SettingInformation - Class in elki.result: Settings information.
SettingsVisualization - Class in elki.visualization.visualizers.visunproj: Pseudo-Visualizer, that lists the settings of the algorithm-
SettingsVisualization() - Constructor for class elki.visualization.visualizers.visunproj.SettingsVisualization: Constructor.
setTitle(String, String) - Method in class elki.visualization.svg.SVGButton: Set the button title
setTotal(int) - Method in class elki.logging.progress.MutableProgress: Modify the total value.
setup(List<? extends NumberVector>, int) - Method in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter: Configure the sorting class.
setupAppChooser() - Method in class elki.gui.minigui.MiniGUI: Setup the application chooser.
setupBundleHeaders(ArrayList<String>, int[], TypeInformation[], int[], MultipleObjectsBundle, boolean) - Method in class elki.datasource.parser.ArffParser: Setup the headers for the object bundle.
setupCanvas() - Method in class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: Setup our canvas.
setupCanvas(SVGPlot, Projection2D, double, double, double) - Static method in class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: Utility function to setup a canvas element for the visualization.
setupCanvas(SVGPlot, ProjectionParallel, double, double) - Method in class elki.visualization.visualizers.parallel.AbstractParallelVisualization: Utility function to setup a canvas element for the visualization.
setupCommandLine() - Method in class elki.gui.minigui.MiniGUI: Setup command line field
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Registers the Tooltip-CSS-Class at a SVGPlot.
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance: Registers the COP error vector-CSS-Class at a SVGPlot.
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance: Registers the Reference-Point-CSS-Class at a SVGPlot.
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Registers the Tooltip-CSS-Class at a SVGPlot.
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Registers the Tooltip-CSS-Class at a SVGPlot.
setupCSS(SVGPlot) - Method in class elki.visualization.visualizers.visunproj.KeyVisualization.Instance: Registers the Tooltip-CSS-Class at a SVGPlot.
setupCSS(SVGPlot, double) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance: Register the CSS classes.
setupCSS(SVGPlot, int) - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance: Generate the needed CSS classes.
setupCSS(SVGPlot, ClassStylingPolicy) - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance: Registers the Bubble-CSS-Class at a SVGPlot.
setupCSS(SVGPlot, ClassStylingPolicy, double) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance: Register the CSS classes.
setupCSS(VisualizerContext, SVGPlot) - Method in class elki.visualization.visualizers.visunproj.XYCurveVisualization: Setup the CSS classes for the plot.
setupCSS(VisualizerContext, SVGPlot, XYPlot) - Method in class elki.visualization.visualizers.visunproj.XYPlotVisualization: Setup the CSS classes for the plot.
setupCSSClasses(Object, CSSClassManager, StyleLibrary) - Static method in class elki.visualization.svg.SVGSimpleLinearAxis: Register CSS classes with a CSSClassManager
setupLoadSaveButtons() - Method in class elki.gui.minigui.MiniGUI: Create the load and save buttons.
setupLoggingArea() - Method in class elki.gui.minigui.MiniGUI: Setup logging area
setupParameterTable() - Method in class elki.gui.minigui.MiniGUI: Setup the parameter table
setValue(boolean) - Method in class elki.utilities.optionhandling.parameters.Flag: Convenience function using a native boolean, that doesn't require error handling.
setValue(int, int) - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList: Get the value at the given position.
setValue(Object) - Method in class elki.gui.util.ParameterTable.ColorfulRenderer
setValue(Object) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
setValue(Object) - Method in class elki.utilities.optionhandling.parameters.ObjectParameter
setValue(Object) - Method in interface elki.utilities.optionhandling.parameters.Parameter: Sets the value of the option.
setValue(Object) - Method in class elki.utilities.optionhandling.parameters.RandomParameter
setValueAt(Object, int, int) - Method in class elki.gui.util.ParametersModel
setValueAt(Object, int, int) - Method in class elki.visualization.gui.SelectionTableWindow.DatabaseTableModel
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.ChainedParameterization
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.EmptyParameterization
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.MergedParameterization
setValueForOption(Parameter<?>) - Method in interface elki.utilities.optionhandling.parameterization.Parameterization: Assign a value for an option, but not using default values and throwing exceptions on error.
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.SerializedParameterization
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.TrackParameters
setValueForOption(Parameter<?>) - Method in class elki.utilities.optionhandling.parameterization.UnParameterization
setValueInternal(T) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter: Internal setter for the value.
setVerbose(Level) - Static method in class elki.logging.LoggingConfiguration: Reconfigure logging to enable 'verbose' logging at the top level.
setVisible(VisualizerContext, VisualizationTask, boolean) - Static method in class elki.visualization.VisualizationTree: Utility function to change Visualizer visibility.
setWeight(double) - Method in class elki.clustering.em.models.DiagonalGaussianModel
setWeight(double) - Method in interface elki.clustering.em.models.EMClusterModel: Set the cluster weight.
setWeight(double) - Method in class elki.clustering.em.models.MultivariateGaussianModel
setWeight(double) - Method in class elki.clustering.em.models.SphericalGaussianModel
setWeight(double) - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
setWeight(double) - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
setWeight(double) - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
SHADOW_ID - Static variable in class elki.visualization.svg.SVGEffects: ID for the drop shadow effect
ShallotKMeans<V extends NumberVector> - Class in elki.clustering.kmeans: Borgelt's Shallot k-means algorithm, exploiting the triangle inequality.
ShallotKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.ShallotKMeans: Constructor.
ShallotKMeans.Instance - Class in elki.clustering.kmeans: Inner instance, storing state for a single data set.
ShallotKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans: Parameterization class.
shape - Variable in class elki.math.statistics.distribution.CauchyDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.CauchyDistribution: The shape (gamma) parameter.
shape - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Shape parameter, for generalized logistic distribution.
shape - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: Shape parameter, for generalized logistic distribution.
shape - Variable in class elki.math.statistics.distribution.GumbelDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.InverseGaussianDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.InverseGaussianDistribution: Shape parameter
shape - Variable in class elki.math.statistics.distribution.LogLogisticDistribution.Par: Parameters.
shape - Variable in class elki.math.statistics.distribution.LogLogisticDistribution: Parameters: scale, location, and shape
SHAPE_ID - Static variable in class elki.math.statistics.distribution.CauchyDistribution.Par: Shape parameter gamma.
SHAPE_ID - Static variable in interface elki.math.statistics.distribution.Distribution.Parameterizer: Shape parameter.
shape1 - Variable in class elki.math.statistics.distribution.KappaDistribution.Par: Parameters.
shape1 - Variable in class elki.math.statistics.distribution.KappaDistribution: Shape parameters.
SHAPE1_ID - Static variable in class elki.math.statistics.distribution.KappaDistribution.Par: First shape parameter.
shape2 - Variable in class elki.math.statistics.distribution.KappaDistribution.Par: Parameters.
shape2 - Variable in class elki.math.statistics.distribution.KappaDistribution: Shape parameters.
SHAPE2_ID - Static variable in class elki.math.statistics.distribution.KappaDistribution.Par: Second shape parameter.
share - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory: Relative share of objects to get
share - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor: Relative share of objects to get
shared - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
shared - Variable in class elki.visualization.parallel3d.Parallel3DRenderer: Shared data.
Shared() - Constructor for class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared
SharedDouble - Class in elki.parallel.variables: Direct channel connecting two processors.
SharedDouble() - Constructor for class elki.parallel.variables.SharedDouble
SharedDouble.Instance - Class in elki.parallel.variables: Instance for a sub-channel.
SharedInteger - Class in elki.parallel.variables: Direct channel connecting two processors.
SharedInteger() - Constructor for class elki.parallel.variables.SharedInteger
SharedInteger.Instance - Class in elki.parallel.variables: Instance for a sub-channel.
SharedNearestNeighborIndex<O> - Interface in elki.index.preprocessed.snn: Interface for an index providing nearest neighbor sets.
SharedNearestNeighborIndex.Factory<O> - Interface in elki.index.preprocessed.snn: Factory interface
SharedNearestNeighborJaccardDistance<O> - Class in elki.distance: SharedNearestNeighborJaccardDistance computes the Jaccard coefficient, which is a proper distance metric.
SharedNearestNeighborJaccardDistance(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.distance.SharedNearestNeighborJaccardDistance: Constructor.
SharedNearestNeighborJaccardDistance.Instance<T> - Class in elki.distance: Actual instance for a dataset.
SharedNearestNeighborJaccardDistance.Par<O> - Class in elki.distance: Parameterization class.
SharedNearestNeighborPreprocessor<O> - Class in elki.index.preprocessed.snn: A preprocessor for annotation of the ids of nearest neighbors to each database object.
SharedNearestNeighborPreprocessor(Relation<O>, int, Distance<O>) - Constructor for class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Constructor.
SharedNearestNeighborPreprocessor.Factory<O> - Class in elki.index.preprocessed.snn: Factory class
SharedNearestNeighborPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.snn: Parameterization class.
SharedNearestNeighborSimilarity<O> - Class in elki.similarity: SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.
SharedNearestNeighborSimilarity(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.similarity.SharedNearestNeighborSimilarity: Constructor.
SharedNearestNeighborSimilarity.Instance<O> - Class in elki.similarity: Instance for a particular database.
SharedObject<T> - Class in elki.parallel.variables: Variable to share between different processors (within one thread only!)
SharedObject() - Constructor for class elki.parallel.variables.SharedObject
SharedObject.Instance<T> - Class in elki.parallel.variables: Instance for a particular thread.
SharedVariable<I extends SharedVariable.Instance<?>> - Interface in elki.parallel.variables: Shared variables storing a particular type.
SharedVariable.Instance<T> - Interface in elki.parallel.variables: Instance for a single execution thread.
shift - Variable in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Shift offset.
shift - Variable in class elki.math.statistics.distribution.ExpGammaDistribution.Par: Translation offset.
shift - Variable in class elki.math.statistics.distribution.ExpGammaDistribution: Translation offset.
shift - Variable in class elki.math.statistics.distribution.LogGammaDistribution.Par: Parameters.
shift - Variable in class elki.math.statistics.distribution.LogGammaDistribution: Translation offset.
shift - Variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: Parameters.
shift - Variable in class elki.math.statistics.distribution.LogNormalDistribution: Additional shift factor
shift - Variable in class elki.outlier.distance.HilOut.HilbertFeatures: Current curve shift
shift - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree: Tree parameters
shift - Variable in class elki.utilities.scaling.LinearScaling: Shift
SHIFT_ID - Static variable in class elki.math.statistics.distribution.ExpGammaDistribution.Par: Shifting offset parameter.
SHIFT_ID - Static variable in class elki.math.statistics.distribution.LogGammaDistribution.Par: Shifting offset parameter.
SHIFT_ID - Static variable in class elki.math.statistics.distribution.LogNormalDistribution.Par: Shift parameter
shiftLeftI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Shift a long[] bitset in-place.
shiftRightI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Shift a long[] bitset in-place.
SHORT_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect: Adapter for short arrays.
SHORT_SERIALIZER - Static variable in class elki.data.BitVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.data.ByteVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.data.DoubleVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.data.FloatVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.data.IntegerVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.data.ShortVector: Serializer for up to 2^15-1 dimensions.
SHORT_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil: Static instance.
SHORT0 - Static variable in class elki.data.SparseShortVector: Constant value, for use in (inefficient) SparseShortVector.getValue(int) API.
shortenClassname(String, char) - Static method in class elki.visualization.VisualizerParameterizer: Shorten the class name.
SHORTENED_ARRAY - Static variable in class elki.outlier.COP: A clone of DoubleArrayAdapter that only uses the first 85% of the array!
ShortSerializer() - Constructor for class elki.data.BitVector.ShortSerializer
ShortSerializer() - Constructor for class elki.data.ByteVector.ShortSerializer
ShortSerializer() - Constructor for class elki.data.DoubleVector.ShortSerializer
ShortSerializer() - Constructor for class elki.data.FloatVector.ShortSerializer
ShortSerializer() - Constructor for class elki.data.IntegerVector.ShortSerializer
ShortSerializer() - Constructor for class elki.data.ShortVector.ShortSerializer
ShortSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.ShortSerializer: Constructor.
shortValue(int) - Method in interface elki.data.NumberVector: Returns the value in the specified dimension as short.
shortValue(int) - Method in class elki.data.ShortVector
shortValue(int) - Method in interface elki.data.SparseNumberVector: Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterShortValue(int).
shortValue(int) - Method in class elki.data.SparseShortVector: Deprecated.
ShortVector - Class in elki.data: Vector type using short[] storage.
ShortVector(short[]) - Constructor for class elki.data.ShortVector: Create an ShortVector consisting of the given Short values.
ShortVector(short[], boolean) - Constructor for class elki.data.ShortVector: Private constructor.
ShortVector.Factory - Class in elki.data: Factory for Short vectors.
ShortVector.Factory.Par - Class in elki.data: Parameterization class.
ShortVector.ShortSerializer - Class in elki.data: Serialization class for dense Short vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
ShortVector.VariableSerializer - Class in elki.data: Serialization class for variable dimensionality by using VarInt encoding.
show(Component) - Method in class elki.gui.util.TreePopup: Display the popup, attached to the given component.
showError(Component, String, String) - Static method in class elki.visualization.savedialog.SVGSaveDialog: Helper method to show a error message as "popup".
showOverview() - Method in class elki.visualization.gui.ResultWindow: Navigate to the overview plot.
showPlot(SVGPlot) - Method in class elki.visualization.gui.ResultWindow: Navigate to a particular plot.
showSaveDialog(SVGPlot, int, int) - Static method in class elki.visualization.savedialog.SVGSaveDialog: Show a "Save as" dialog.
showSubplot(DetailViewSelectedEvent) - Method in class elki.visualization.gui.ResultWindow: Navigate to a subplot.
showTableView() - Method in class elki.visualization.gui.ResultWindow: Show a tabular view
showUnclusteredPairs - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Show unclustered Pairs in CircleSegments
showValues(NumberFormat) - Method in class elki.visualization.svg.SVGScoreBar: To show score values, set a number format
SHOWVIS_ID - Static variable in class elki.visualization.VisualizerParameterizer.Par: Parameter to show visualizers hidden by default
showVisualization(VisualizerContext, SimilarityMatrixVisualizer, VisualizationTask) - Method in class elki.application.greedyensemble.VisualizePairwiseGainMatrix: Show a single visualization.
showVisualizers - Variable in class elki.visualization.VisualizerParameterizer.Par: Pattern to show additional visualizers
showVisualizers - Variable in class elki.visualization.VisualizerParameterizer: Pattern to show additional visualizers
shrinkActiveSet(int[], int, int) - Static method in class elki.clustering.hierarchical.AGNES.Instance: Shrink the active set: if the last x objects are all merged, we can reduce the working size accordingly.
shrinkHeap(TreeSet<DoubleDBIDPair>, int) - Static method in class elki.algorithm.statistics.DistanceStatisticsWithClasses: Shrink the heap of "hot" (extreme) items.
shrinking - Variable in class elki.svm.AbstractSingleSVM
shuffle(double[], int, Random) - Static method in class elki.timeseries.OfflineChangePointDetectionAlgorithm: Fisher-Yates shuffle of a partial array
shuffle(ArrayModifiableDBIDs, int, int, Random) - Static method in class elki.clustering.kmedoids.initialization.LAB: Partial Fisher-Yates shuffle.
SHUFFLE_ID - Static variable in class elki.application.experiments.ORLibBenchmark.Par: Random seed for shuffling.
shuffledIndex(int[], int) - Static method in class elki.svm.AbstractSingleSVM: Build a shuffled index array.
ShuffleObjectsFilter - Class in elki.datasource.filter.selection: A filter to shuffle the dataset.
ShuffleObjectsFilter(RandomFactory) - Constructor for class elki.datasource.filter.selection.ShuffleObjectsFilter: Constructor.
ShuffleObjectsFilter.Par - Class in elki.datasource.filter.selection: Parameterization class.
shutdown - Variable in class elki.visualization.visualizers.thumbs.ThumbnailThread: Flag to signal shutdown.
sibling - Variable in class elki.itemsetmining.FPGrowth.FPNode: Parent node and next in sequence.
sigma - Variable in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Par: Parameters.
sigma - Variable in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution: Parameters (location, scale, shape)
sigma - Variable in class elki.math.statistics.distribution.GeneralizedParetoDistribution.Par: Parameters.
sigma - Variable in class elki.math.statistics.distribution.GeneralizedParetoDistribution: Parameters (location, scale, shape)
sigma - Variable in class elki.math.statistics.distribution.NormalDistribution.Par: Parameters.
sigma - Variable in class elki.math.statistics.distribution.RayleighDistribution: Scale parameter.
sigma - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par: Parameters
sigma - Variable in class elki.projection.GaussianAffinityMatrixBuilder.Par: Bandwidth.
sigma - Variable in class elki.projection.GaussianAffinityMatrixBuilder: Kernel bandwidth sigma.
sigma - Variable in class elki.similarity.kernel.LaplaceKernel.Par: Sigma parameter
sigma - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling: Parameter sigma of the gaussian distribution (outliers)
SIGMA - Static variable in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization: Constants for quantiles of standard deviation
SIGMA_ID - Static variable in class elki.projection.GaussianAffinityMatrixBuilder.Par: Sigma parameter, the Gaussian bandwidth
SIGMA_ID - Static variable in class elki.similarity.kernel.LaplaceKernel.Par: Sigma parameter: standard deviation.
SIGMA_ID - Static variable in class elki.similarity.kernel.RadialBasisFunctionKernel.Par: Sigma parameter: standard deviation.
SIGMOID - elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
sigmoid_predict(double, double, double) - Static method in class elki.svm.model.ProbabilisticClassificationModel
sigmoid_train(double[], DataSet) - Method in class elki.svm.AbstractSVC
SigmoidKernel - Class in elki.similarity.kernel: Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).
SigmoidKernel(double, double) - Constructor for class elki.similarity.kernel.SigmoidKernel: Constructor.
SigmoidKernel.Par - Class in elki.similarity.kernel: Parameterization class.
SigmoidOutlierScaling - Class in elki.utilities.scaling.outlier: Tries to fit a sigmoid to the outlier scores and use it to convert the values to probability estimates in the range of 0.0 to 1.0
SigmoidOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.SigmoidOutlierScaling
sign - Variable in class elki.svm.qmatrix.SVR_Q
Signature(int[], DBIDs) - Constructor for class elki.clustering.subspace.P3C.Signature: Constructor.
SignedProjection(int, int, Random) - Constructor for class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection: Constructor.
SignificantEigenPairFilter - Class in elki.math.linearalgebra.pca.filter: The SignificantEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and chooses the contrast of an Eigenvalue to the remaining Eigenvalues is maximal.
SignificantEigenPairFilter(double) - Constructor for class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter: Constructor.
SignificantEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
SigniTrendChangeDetection - Class in elki.timeseries: Signi-Trend detection algorithm applies to a single time-series.
SigniTrendChangeDetection(double, double, double) - Constructor for class elki.timeseries.SigniTrendChangeDetection: Constructor
SigniTrendChangeDetection.Instance - Class in elki.timeseries: Instance for one data set.
SigniTrendChangeDetection.Par - Class in elki.timeseries: Parameterization class.
silhouette - Variable in class elki.visualization.visualizers.silhouette.AbstractSilhouetteVisualization: The plot
silhouette(IntegerDataStore, int) - Method in class elki.clustering.silhouette.PAMSIL.Instance: Evaluate the average Silhouette of the current cluster assignment
Silhouette<O> - Class in elki.evaluation.clustering.internal: Compute the silhouette of a data set.
Silhouette(Distance<? super O>, boolean) - Constructor for class elki.evaluation.clustering.internal.Silhouette: Constructor.
Silhouette(Distance<? super O>, NoiseHandling, boolean) - Constructor for class elki.evaluation.clustering.internal.Silhouette: Constructor.
SILHOUETTE_NAME - Static variable in class elki.evaluation.clustering.internal.Silhouette: Name of the silhouette result.
Silhouette.Par<O> - Class in elki.evaluation.clustering.internal: Parameterization class.
SilhouetteOutlierDetection<O> - Class in elki.outlier.clustering: Outlier detection by using the Silhouette Coefficients.
SilhouetteOutlierDetection(Distance<? super O>, ClusteringAlgorithm<?>, NoiseHandling) - Constructor for class elki.outlier.clustering.SilhouetteOutlierDetection: Constructor.
SilhouettePlot - Class in elki.visualization.silhouette: Class to produce an Silhouette plot image.
SilhouettePlot(DoubleDBIDList[], StylingPolicy) - Constructor for class elki.visualization.silhouette.SilhouettePlot: Constructor, with automatic distance adapter detection.
SilhouettePlotFactory - Class in elki.visualization.projector: Produce Silhouette plot projections
SilhouettePlotFactory() - Constructor for class elki.visualization.projector.SilhouettePlotFactory: Constructor.
SilhouettePlotProjector - Class in elki.visualization.projector: Projection for Silhouette plots.
SilhouettePlotProjector(Clustering<?>, DoubleRelation) - Constructor for class elki.visualization.projector.SilhouettePlotProjector: Constructor.
SilhouettePlotSelectionToolVisualization - Class in elki.visualization.visualizers.silhouette: Handle the events to select elements in a Silhouette Plot.
SilhouettePlotSelectionToolVisualization() - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization: Constructor.
SilhouettePlotSelectionToolVisualization.Instance - Class in elki.visualization.visualizers.silhouette: Instance.
SilhouettePlotSelectionToolVisualization.Mode - Enum in elki.visualization.visualizers.silhouette: Input modes
SilhouettePlotSelectionVisualization - Class in elki.visualization.visualizers.silhouette: Visualize the selection in a Silhouette Plot.
SilhouettePlotSelectionVisualization() - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization: Constructor.
SilhouettePlotSelectionVisualization.Instance - Class in elki.visualization.visualizers.silhouette: Instance.
SilhouettePlotVisualizer - Class in elki.visualization.visualizers.silhouette: Visualize a Silhouette result by constructing a Silhouette plot for it.
SilhouettePlotVisualizer() - Constructor for class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer: Constructor.
SilhouettePlotVisualizer.Instance - Class in elki.visualization.visualizers.silhouette: Instance.
SilhouetteProjection - Class in elki.visualization.projections: Silhouette projection.
SilhouetteProjection(SilhouettePlotProjector) - Constructor for class elki.visualization.projections.SilhouetteProjection: Constructor.
silhouettes - Variable in class elki.clustering.silhouette.PAMSIL.Instance: Store the per-point silhouette scores for plotting.
silhouettes - Variable in class elki.visualization.silhouette.SilhouettePlot: The silhouette values.
silhouetteScores() - Method in class elki.clustering.silhouette.FastMSC.Instance: Get the silhouette scores per point (must be run() first)
silhouetteScores() - Method in class elki.clustering.silhouette.FastMSC.Instance2: Get the silhouette scores per point (must be run() first)
silhouetteScores() - Method in class elki.clustering.silhouette.PAMSIL.Instance
sim - Variable in class elki.database.query.range.LinearScanPrimitiveSimilarityRangeByObject: Similarity query.
sim - Variable in class elki.svm.data.SimilarityQueryAdapter: Similarity query
sim - Variable in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.Par: Similarity measure
sim - Variable in class elki.visualization.parallel3d.layout.AbstractLayout3DPC: Similarity measure
sim - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings: Similarity measure in use.
SIM_ID - Static variable in class elki.outlier.subspace.SOD.Par: Parameter for the similarity function.
SIM_ID - Static variable in interface elki.visualization.parallel3d.layout.SimilarityBasedLayouter3DPC: Option for similarity measure.
simFunc - Variable in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate: Similarity function to use
similarity - Variable in class elki.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian: Similarity function.
similarity - Variable in class elki.database.query.QueryBuilder: Similarity to query
similarity(double[], double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance: Compute the similarity of two objects (and count this operation).
similarity(int, int) - Method in class elki.svm.data.ByteWeightedArrayDataSet
similarity(int, int) - Method in interface elki.svm.data.DataSet: Get the ith element.
similarity(int, int) - Method in class elki.svm.data.DoubleWeightedDataSet
similarity(int, int) - Method in class elki.svm.data.SimilarityQueryAdapter
similarity(int, int) - Method in class elki.svm.qmatrix.CachedQMatrix
similarity(int, int) - Method in class elki.svm.qmatrix.Kernel
similarity(int, int) - Method in interface elki.svm.qmatrix.QMatrix: (Slow) compute the similarity (not distance) of objects i and j.
similarity(int, int) - Method in class elki.svm.qmatrix.R2_Qq
similarity(int, int) - Method in class elki.svm.qmatrix.SVC_Q
similarity(int, int) - Method in class elki.svm.qmatrix.SVR_Q
similarity(Cluster<?>, Cluster<?>) - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
similarity(Cluster<?>, Cluster<?>) - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
similarity(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity
similarity(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity
similarity(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity
similarity(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity
similarity(FeatureVector<?>, FeatureVector<?>) - Method in class elki.distance.set.JaccardSimilarityDistance
similarity(NumberVector, double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance: Compute the similarity of two objects (and count this operation).
similarity(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.HellingerDistance
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.LaplaceKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.LinearKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.PolynomialKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.RadialBasisFunctionKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.RationalQuadraticKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.kernel.SigmoidKernel
similarity(NumberVector, NumberVector) - Method in class elki.similarity.Kulczynski1Similarity
similarity(NumberVector, NumberVector) - Method in class elki.similarity.Kulczynski2Similarity
similarity(NumberVector, DBIDRef) - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Instance: Compute the distance of two objects.
similarity(NumberVector, DBIDRef) - Method in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Compute the distance of two objects.
similarity(DBIDRef, DBIDRef) - Method in class elki.database.query.distance.PrimitiveDistanceSimilarityQuery
similarity(DBIDRef, DBIDRef) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery
similarity(DBIDRef, DBIDRef) - Method in class elki.database.query.similarity.PrimitiveSimilarityQuery
similarity(DBIDRef, DBIDRef) - Method in interface elki.database.query.similarity.SimilarityQuery: Returns the similarity between the two objects specified by their object ids.
similarity(DBIDRef, DBIDRef) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery
similarity(DBIDRef, DBIDRef) - Method in class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance
similarity(DBIDRef, DBIDRef) - Method in class elki.similarity.SharedNearestNeighborSimilarity.Instance
similarity(DBIDRef, O) - Method in class elki.database.query.distance.PrimitiveDistanceSimilarityQuery
similarity(DBIDRef, O) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery
similarity(DBIDRef, O) - Method in interface elki.database.query.similarity.DatabaseSimilarityQuery
similarity(DBIDRef, O) - Method in class elki.database.query.similarity.PrimitiveSimilarityQuery
similarity(DBIDRef, O) - Method in interface elki.database.query.similarity.SimilarityQuery: Returns the similarity between the two objects specified by their object ids.
similarity(DBIDRef, O) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery
similarity(O, DBIDRef) - Method in class elki.database.query.distance.PrimitiveDistanceSimilarityQuery
similarity(O, DBIDRef) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery
similarity(O, DBIDRef) - Method in interface elki.database.query.similarity.DatabaseSimilarityQuery
similarity(O, DBIDRef) - Method in class elki.database.query.similarity.PrimitiveSimilarityQuery
similarity(O, DBIDRef) - Method in interface elki.database.query.similarity.SimilarityQuery: Returns the similarity between the two objects specified by their object ids.
similarity(O, DBIDRef) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery
similarity(O, O) - Method in class elki.database.query.distance.PrimitiveDistanceSimilarityQuery
similarity(O, O) - Method in class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery
similarity(O, O) - Method in interface elki.database.query.similarity.DatabaseSimilarityQuery
similarity(O, O) - Method in class elki.database.query.similarity.PrimitiveSimilarityQuery
similarity(O, O) - Method in interface elki.database.query.similarity.SimilarityQuery: Returns the similarity between the two objects specified by their object ids.
similarity(O, O) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery
similarity(O, O) - Method in class elki.similarity.InvertedDistanceSimilarity
similarity(O, O) - Method in interface elki.similarity.PrimitiveSimilarity: Computes the similarity between two given DatabaseObjects according to this similarity function.
Similarity<O> - Interface in elki.similarity: Interface Similarity describes the requirements of any similarity function.
SIMILARITY_FUNCTION_ID - Static variable in class elki.distance.adapter.AbstractSimilarityAdapter.Par: Parameter to specify the similarity function to derive the distance between database objects from.
SimilarityBasedInitializationWithMedian<O> - Class in elki.clustering.affinitypropagation: Similarity based initialization.
SimilarityBasedInitializationWithMedian(Similarity<? super O>, double) - Constructor for class elki.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian: Constructor.
SimilarityBasedLayouter3DPC - Interface in elki.visualization.parallel3d.layout: Similarity based layouting algorithms.
similarityFunction - Variable in class elki.clustering.SNNClustering: The similarity function for the shared nearest neighbor similarity.
similarityFunction - Variable in class elki.database.query.distance.PrimitiveDistanceSimilarityQuery: Typed reference to the similarity function (usually the same as the distance function!)
similarityFunction - Variable in class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery: Typed reference to the similarity function (usually the same as the distance function!)
similarityFunction - Variable in class elki.database.query.similarity.PrimitiveSimilarityQuery: The distance function we use.
similarityFunction - Variable in class elki.distance.adapter.AbstractSimilarityAdapter.Par: Holds the similarity function.
similarityFunction - Variable in class elki.distance.adapter.AbstractSimilarityAdapter: Holds the similarity function.
similarityFunction - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix.Factory: Nested similarity function.
similarityFunction - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: Nested similarity function.
similarityFunction - Variable in class elki.outlier.subspace.SOD.Par: The similarity function.
similarityFunction - Variable in class elki.outlier.subspace.SOD: Similarity function to use.
similarityFunction - Variable in class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance: Similarity function.
similarityFunction - Variable in class elki.similarity.SharedNearestNeighborSimilarity.Instance: Similarity function.
SimilarityIndex<O> - Interface in elki.index: Index with support for similarity queries (e.g., precomputed similarity matrixes, caches)
similarityMatrix - Variable in class elki.data.model.CorrelationAnalysisSolution: The similarity matrix of the pca.
similarityMatrix() - Method in class elki.math.linearalgebra.pca.PCAFilteredResult: Returns the similarity matrix (M_hat) of this LocalPCA.
SimilarityMatrix(RenderedImage, Relation<?>, ArrayDBIDs) - Constructor for class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Constructor
SimilarityMatrixVisualizer - Class in elki.visualization.visualizers.visunproj: Visualize a similarity matrix with object labels
SimilarityMatrixVisualizer() - Constructor for class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer: Constructor.
SimilarityMatrixVisualizer.Instance - Class in elki.visualization.visualizers.visunproj: Instance
SimilarityNeighborPredicate<O> - Class in elki.clustering.dbscan.predicates: The DBSCAN neighbor predicate for a Similarity, using all neighbors with a minimum similarity.
SimilarityNeighborPredicate(double, Similarity<? super O>) - Constructor for class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate: Full constructor.
SimilarityNeighborPredicate.Instance - Class in elki.clustering.dbscan.predicates: Instance for a particular data set.
similarityNumberVector(NumberVector, NumberVector) - Static method in class elki.distance.set.JaccardSimilarityDistance: Compute Jaccard similarity for two number vectors.
similarityQuery - Variable in class elki.distance.adapter.AbstractSimilarityAdapter.Instance: The similarity query we use.
similarityQuery - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: Nested similarity query.
similarityQuery() - Method in class elki.database.query.QueryBuilder: Build a similarity query.
SimilarityQuery<O> - Interface in elki.database.query.similarity: A similarity query serves as adapter layer for database and primitive similarity functions.
SimilarityQueryAdapter - Class in elki.svm.data: Use a relation as data set
SimilarityQueryAdapter(SimilarityQuery<?>, DBIDs) - Constructor for class elki.svm.data.SimilarityQueryAdapter
similarityRangeByDBID() - Method in class elki.database.query.QueryBuilder: Build a similarity range query; if possible also specify the least selective threshold.
similarityRangeByDBID(double) - Method in class elki.database.query.QueryBuilder: Build a similarity range query.
similarityRangeByDBID(SimilarityQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix
similarityRangeByDBID(SimilarityQuery<O>, double, int) - Method in interface elki.index.SimilarityRangeIndex: Get a range query object for the given distance query and k.
similarityRangeByDBID(Relation<? extends O>, SimilarityQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a range query for this relation.
similarityRangeByObject() - Method in class elki.database.query.QueryBuilder: Build a similarity range query; if possible also specify the least selective threshold.
similarityRangeByObject(double) - Method in class elki.database.query.QueryBuilder: Build a similarity range query.
similarityRangeByObject(SimilarityQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedSimilarityMatrix
similarityRangeByObject(SimilarityQuery<O>, double, int) - Method in interface elki.index.SimilarityRangeIndex: Get a range query object for the given distance query and k.
similarityRangeByObject(Relation<? extends O>, SimilarityQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a range query for this relation.
SimilarityRangeIndex<O> - Interface in elki.index: Index with support for similarity range queries.
SIMPLE_CLASSLABEL - Static variable in class elki.data.type.TypeUtil: Simple class labels.
SIMPLE_TYPE_SERIALIZER - Static variable in class elki.data.type.TypeInformationSerializer: Serializer for simple types only.
Simple1D - Class in elki.visualization.projections: Dimension-selecting 1D projection.
Simple1D(Projector, LinearScale[], int) - Constructor for class elki.visualization.projections.Simple1D: Simple 1D projection using scaling only.
Simple1DOFCamera - Class in elki.visualization.parallel3d.util: Class for a simple camera.
Simple1DOFCamera(Simple1DOFCamera) - Constructor for class elki.visualization.parallel3d.util.Simple1DOFCamera: Copy constructor, for freezing a camera position.
Simple1DOFCamera(GLU) - Constructor for class elki.visualization.parallel3d.util.Simple1DOFCamera: Constructor.
Simple1DOFCamera.CameraListener - Interface in elki.visualization.parallel3d.util: Camera Listener class
Simple2D - Class in elki.visualization.projections: Dimension-selecting 2D projection.
Simple2D(Projector, LinearScale[], int, int) - Constructor for class elki.visualization.projections.Simple2D: Constructor with a given database and axes.
SimpleAdapter - Class in elki.evaluation.scores.adapter: This adapter can be used for an arbitrary collection of DBIDs, and does hence not have a notion of ties.
SimpleAdapter(DBIDs, DBIDIter, int) - Constructor for class elki.evaluation.scores.adapter.SimpleAdapter: Constructor
SimpleCircularMSTLayout3DPC - Class in elki.visualization.parallel3d.layout: Simple circular layout based on the minimum spanning tree.
SimpleCircularMSTLayout3DPC(Dependence) - Constructor for class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC: Constructor.
SimpleCircularMSTLayout3DPC.Node - Class in elki.visualization.parallel3d.layout: Node class for this layout.
SimpleCircularMSTLayout3DPC.Par - Class in elki.visualization.parallel3d.layout: Parameteriation class.
SimpleClassLabel - Class in elki.data: A simple class label casting a String as it is as label.
SimpleClassLabel(String) - Constructor for class elki.data.SimpleClassLabel: Constructor.
SimpleClassLabel.Factory - Class in elki.data: Factory class.
SimpleClassLabel.Serializer - Class in elki.data: Serialization class.
SimpleCOP<V extends NumberVector> - Class in elki.outlier: Algorithm to compute local correlation outlier probability.
SimpleCOP(Distance<? super V>, int, PCARunner, EigenPairFilter) - Constructor for class elki.outlier.SimpleCOP: Constructor.
SimpleCOP.Par<V extends NumberVector> - Class in elki.outlier: Parameterization class.
SimpleEnumeratingScheme - Class in elki.result.textwriter.naming: Simple enumerating naming scheme.
SimpleEnumeratingScheme(Clustering<?>) - Constructor for class elki.result.textwriter.naming.SimpleEnumeratingScheme: Constructor.
SimpleGaussianContinuousUncertainObject - Class in elki.data.uncertain: Gaussian model for uncertain objects, sampled from a 3-sigma bounding box.
SimpleGaussianContinuousUncertainObject(SpatialComparable) - Constructor for class elki.data.uncertain.SimpleGaussianContinuousUncertainObject: Constructor.
SimpleGaussianContinuousUncertainObject.Factory - Class in elki.data.uncertain: Factory class for this data type.
SimpleGaussianUncertainifier - Class in elki.data.uncertain.uncertainifier: Vector factory
SimpleGaussianUncertainifier(double, double, boolean) - Constructor for class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier: Constructor.
SimpleGaussianUncertainifier.Par - Class in elki.data.uncertain.uncertainifier: Parameterizer class.
SimpleKernelDensityLOF<O extends NumberVector> - Class in elki.outlier.lof: A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.
SimpleKernelDensityLOF(int, Distance<? super O>, KernelDensityFunction) - Constructor for class elki.outlier.lof.SimpleKernelDensityLOF: Constructor.
SimpleMenuOverlay - Class in elki.visualization.parallel3d.util: Simple menu overlay.
SimpleMenuOverlay() - Constructor for class elki.visualization.parallel3d.util.SimpleMenuOverlay: Constructor.
SimpleMessageOverlay - Class in elki.visualization.parallel3d.util: Simple menu overlay.
SimpleMessageOverlay() - Constructor for class elki.visualization.parallel3d.util.SimpleMessageOverlay: Constructor.
SimpleOutlierEnsemble - Class in elki.outlier.meta: Simple outlier ensemble method.
SimpleOutlierEnsemble(List<? extends OutlierAlgorithm>, EnsembleVoting) - Constructor for class elki.outlier.meta.SimpleOutlierEnsemble: Constructor.
SimpleOutlierEnsemble.Par - Class in elki.outlier.meta: Parameterization class.
SimpleParallel - Class in elki.visualization.projections: Simple parallel projection Scaled space: reordered, scaled and inverted.
SimpleParallel(Projector, LinearScale[]) - Constructor for class elki.visualization.projections.SimpleParallel: Constructor.
SimplePolygonParser - Class in elki.datasource.parser: Parser to load polygon data (2D and 3D only) from a simple format.
SimplePolygonParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.SimplePolygonParser: Constructor.
SimplePolygonParser.Par - Class in elki.datasource.parser: Parameterization class.
SimplePrototypeModel<V> - Class in elki.data.model: Cluster model that stores a prototype for each cluster.
SimplePrototypeModel(V) - Constructor for class elki.data.model.SimplePrototypeModel: Constructor with prototype
SimpleScoreDumper - Class in tutorial.outlier: Simple example output handler for processing outlier scores.
SimpleScoreDumper() - Constructor for class tutorial.outlier.SimpleScoreDumper
SimpleSVGViewer - Class in elki.visualization.gui: A minimalistic SVG viewer with export dialog.
SimpleSVGViewer() - Constructor for class elki.visualization.gui.SimpleSVGViewer: Constructor.
simpleTest(double[]) - Static method in class elki.math.statistics.tests.KolmogorovSmirnovTest: Simplest version of the test: test if a sorted array is approximately uniform distributed on [0:1].
simpleTest(double[], double, double) - Static method in class elki.math.statistics.tests.KolmogorovSmirnovTest: Simplest version of the test: test if a sorted array is approximately uniform distributed on the given interval.
SimpleTransactionParser - Class in elki.datasource.parser: Simple parser for transactional data, such as market baskets.
SimpleTransactionParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.SimpleTransactionParser: Constructor.
SimpleTransactionParser.Par - Class in elki.datasource.parser: Parameterization class.
SimpleTypeInformation<T> - Class in elki.data.type: Class wrapping a particular data type.
SimpleTypeInformation(Class<? super T>) - Constructor for class elki.data.type.SimpleTypeInformation: Constructor.
SimpleTypeInformation(Class<? super T>, ByteBufferSerializer<? super T>) - Constructor for class elki.data.type.SimpleTypeInformation: Constructor.
SimpleTypeInformation(Class<? super T>, String) - Constructor for class elki.data.type.SimpleTypeInformation: Constructor.
SimpleTypeInformation(Class<? super T>, String, ByteBufferSerializer<? super T>) - Constructor for class elki.data.type.SimpleTypeInformation: Constructor.
SimpleTypeSerializer() - Constructor for class elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
SimplifiedCoverTree<O> - Class in elki.index.tree.metrical.covertree: Simplified cover tree data structure (in-memory).
SimplifiedCoverTree(Relation<O>, Distance<? super O>, double, int) - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree: Constructor.
SimplifiedCoverTree.CoverTreeKNNDBIDSearcher - Class in elki.index.tree.metrical.covertree: KNN Query class.
SimplifiedCoverTree.CoverTreeKNNObjectSearcher - Class in elki.index.tree.metrical.covertree: KNN Query class.
SimplifiedCoverTree.CoverTreeKNNSearcher - Class in elki.index.tree.metrical.covertree: KNN Query class.
SimplifiedCoverTree.CoverTreePriorityDBIDSearcher - Class in elki.index.tree.metrical.covertree: Priority query class.
SimplifiedCoverTree.CoverTreePriorityObjectSearcher - Class in elki.index.tree.metrical.covertree: Priority query class.
SimplifiedCoverTree.CoverTreePrioritySearcher<Q> - Class in elki.index.tree.metrical.covertree: Priority query class.
SimplifiedCoverTree.CoverTreeRangeDBIDSearcher - Class in elki.index.tree.metrical.covertree: Range query class.
SimplifiedCoverTree.CoverTreeRangeObjectSearcher - Class in elki.index.tree.metrical.covertree: Range query class.
SimplifiedCoverTree.CoverTreeRangeSearcher - Class in elki.index.tree.metrical.covertree: Range query class.
SimplifiedCoverTree.Factory<O> - Class in elki.index.tree.metrical.covertree: Index factory.
SimplifiedCoverTree.Factory.Par<O> - Class in elki.index.tree.metrical.covertree: Parameterization class.
SimplifiedCoverTree.Node - Class in elki.index.tree.metrical.covertree: Node object.
SimplifiedElkanKMeans<V extends NumberVector> - Class in elki.clustering.kmeans: Simplified version of Elkan's k-means by exploiting the triangle inequality.
SimplifiedElkanKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.SimplifiedElkanKMeans: Constructor.
SimplifiedElkanKMeans.Instance - Class in elki.clustering.kmeans: Inner instance, storing state for a single data set.
SimplifiedElkanKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans: Parameterization class.
SimplifiedHierarchyExtraction - Class in elki.clustering.hierarchical.extraction: Extraction of simplified cluster hierarchies, as proposed in HDBSCAN.
SimplifiedHierarchyExtraction(HierarchicalClusteringAlgorithm, int) - Constructor for class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction: Constructor.
SimplifiedHierarchyExtraction.Instance - Class in elki.clustering.hierarchical.extraction: Instance for a single data set.
SimplifiedHierarchyExtraction.Par - Class in elki.clustering.hierarchical.extraction: Parameterization class.
SimplifiedHierarchyExtraction.TempCluster - Class in elki.clustering.hierarchical.extraction: Temporary cluster.
SimplifiedHierarchyExtractionEvaluator - Class in elki.evaluation.clustering.extractor: Extract clusters from a hierarchical clustering, during the evaluation phase.
SimplifiedHierarchyExtractionEvaluator(SimplifiedHierarchyExtraction) - Constructor for class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator: Constructor.
SimplifiedHierarchyExtractionEvaluator.Par - Class in elki.evaluation.clustering.extractor: Parameterization class.
SimplifiedLOF<O> - Class in elki.outlier.lof: A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.
SimplifiedLOF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.SimplifiedLOF: Constructor.
SimplifiedLRDProcessor - Class in elki.outlier.lof.parallel: Processor for the "local reachability density" of LOF.
SimplifiedLRDProcessor(DataStore<? extends KNNList>) - Constructor for class elki.outlier.lof.parallel.SimplifiedLRDProcessor: Constructor.
SimplifiedLRDProcessor.Instance - Class in elki.outlier.lof.parallel: Instance
simplifiedPSI - Variable in class elki.evaluation.clustering.PairSetsIndex: Simplified PSI (with e = 1)
simplifiedPSI() - Method in class elki.evaluation.clustering.PairSetsIndex: Get the simplified PSI value using e = 1
SimplifiedRandomHyperplaneProjectionFamily - Class in elki.data.projection.random: Random hyperplane projection family.
SimplifiedRandomHyperplaneProjectionFamily(RandomFactory) - Constructor for class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily: Constructor.
SimplifiedRandomHyperplaneProjectionFamily.Par - Class in elki.data.projection.random: Parameterization class.
SimplifiedRandomHyperplaneProjectionFamily.SignedProjection - Class in elki.data.projection.random: Fast projection class, using booleans to represent +-1 matrix entries.
SimplifiedSilhouette - Class in elki.evaluation.clustering.internal: Compute the simplified silhouette of a data set.
SimplifiedSilhouette(NumberVectorDistance<?>, NoiseHandling, boolean) - Constructor for class elki.evaluation.clustering.internal.SimplifiedSilhouette: Constructor.
SimplifiedSilhouette.Par - Class in elki.evaluation.clustering.internal: Parameterization class.
simplify - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par: Produce a simpler result by adding single points directly into the merge cluster.
simplify - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram: Produce a simpler result by adding single points directly into the merge cluster.
simplify - Variable in class elki.visualization.gui.ResultWindow.DynamicMenu: Simplify the menu.
simplifyTree(MutableTreeNode, String) - Static method in class elki.gui.util.ClassTree: Simplify the tree.
simQuery - Variable in class elki.database.query.QueryBuilder: Bound similarity to query
simQuery - Variable in class elki.database.query.range.LinearScanSimilarityRangeByDBID: Hold the similarity function to be used.
simQuery - Variable in class elki.database.query.range.LinearScanSimilarityRangeByObject: Hold the similarity function to be used.
simulateParameters(double[]) - Method in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Compute new chisquared error
sin(int) - Method in class elki.math.SinCosTable.FullTable: Get Sinus by step value.
sin(int) - Method in class elki.math.SinCosTable.HalfTable: Get Sinus by step value.
sin(int) - Method in class elki.math.SinCosTable.QuarterTable: Get Sinus by step value.
sin(int) - Method in class elki.math.SinCosTable: Get Sinus by step value.
SinCosTable - Class in elki.math: Class to precompute / cache Sinus and Cosinus values.
SinCosTable(int) - Constructor for class elki.math.SinCosTable: Constructor.
SinCosTable.FullTable - Class in elki.math: Table that can't exploit much symmetry, because the steps are not divisible by 2.
SinCosTable.HalfTable - Class in elki.math: Table that exploits just one symmetry, as the number of steps is divisible by two.
SinCosTable.QuarterTable - Class in elki.math: Table that exploits both symmetries, as the number of steps is divisible by four.
single - Variable in class elki.result.AutomaticVisualization.Par: Single view mode.
single - Variable in class elki.result.AutomaticVisualization: Single view mode
single - Variable in class elki.visualization.gui.overview.OverviewPlot: Single view mode
single - Variable in class elki.visualization.gui.ResultWindow: Single view mode.
SINGLE - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Linkage
SINGLE - tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Linkage
SINGLE_ID - Static variable in class elki.result.AutomaticVisualization.Par: Flag to set single display
singleAssignment(Relation<?>) - Method in class elki.clustering.trivial.ByLabelClustering: Assigns the objects of the database to single clusters according to their labels.
SingleAssignmentKMeans<V extends NumberVector> - Class in elki.clustering.kmeans: Pseudo-k-means variations, that assigns each object to the nearest center.
SingleAssignmentKMeans(NumberVectorDistance<? super V>, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.SingleAssignmentKMeans: Constructor.
SingleAssignmentKMeans.Instance - Class in elki.clustering.kmeans: Inner instance, storing state for a single data set.
SingleAssignmentKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans: Parameterization class.
SingleAssignmentKMedoids<O> - Class in elki.clustering.kmedoids: K-medoids clustering by using the initialization only, then assigning each object to the nearest neighbor.
SingleAssignmentKMedoids(Distance<? super O>, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.SingleAssignmentKMedoids: Constructor.
SingleAssignmentKMedoids.Instance - Class in elki.clustering.kmedoids: Instance for a single dataset.
SingleAssignmentKMedoids.Par<O> - Class in elki.clustering.kmedoids: Parameterization class.
singleEnsemble(double[], NumberVector) - Method in class elki.application.greedyensemble.GreedyEnsembleExperiment: Build a single-element "ensemble".
singleIteration(Relation<V>, Relation<? extends NumberVector>) - Method in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: Run a single iteration of the GLS-SOD modeling step
SingleLinkage - Class in elki.clustering.hierarchical.linkage: Single-linkage ("minimum") clustering method.
SingleLinkage() - Constructor for class elki.clustering.hierarchical.linkage.SingleLinkage: Deprecated.
use the static instance SingleLinkage.STATIC instead.
SingleLinkage.Par - Class in elki.clustering.hierarchical.linkage: Class parameterizer.
singleNodeDeletion(double[][], ChengAndChurch.BiclusterCandidate) - Method in class elki.clustering.biclustering.ChengAndChurch: Algorithm 1 of Cheng and Church:
SingleObjectBundle - Class in elki.datasource.bundle: This class represents a "packaged" object, which is a transfer container for objects, e.g., from parsers to a database.
SingleObjectBundle() - Constructor for class elki.datasource.bundle.SingleObjectBundle: Constructor.
SingleObjectBundle(BundleMeta, DBID, List<Object>) - Constructor for class elki.datasource.bundle.SingleObjectBundle: Constructor.
SingleObjectBundle(BundleMeta, List<Object>) - Constructor for class elki.datasource.bundle.SingleObjectBundle: Constructor.
SingleObjectsStylingPolicy - Interface in elki.visualization.style: Styling policy based on assigning objects individual colors.
SingleStreamOutput - Class in elki.result.textwriter: Class to output all result data to a single stream (e.g., Stdout, single file)
SingleStreamOutput() - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor using stdout.
SingleStreamOutput(OutputStream) - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor with given FileOutputStream.
SingleStreamOutput(OutputStream, boolean) - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor with given FileOutputStream.
SingleStreamOutput(PrintStream) - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor with a print stream.
SingleStreamOutput(Path) - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor with given file name.
SingleStreamOutput(Path, boolean) - Constructor for class elki.result.textwriter.SingleStreamOutput: Constructor with given file name.
SingleThreadedExecutor - Class in elki.parallel: Class to process the whole data set in a single thread.
SingleThreadedExecutor() - Constructor for class elki.parallel.SingleThreadedExecutor: Private constructor.
SingleThreadedExecutor.SingleThreadedRunner - Class in elki.parallel: Run for an array part, without step size.
SingleThreadedRunner(DBIDs, Processor[]) - Constructor for class elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: Constructor.
singletons - Variable in class elki.index.tree.metrical.covertree.CoverTree.Node: Objects in this node.
singletons - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node: Objects in this node.
singletonsScoring(Clustering<?>, Relation<O>, NumberVectorDistance<? super O>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.clustering.KMeansOutlierDetection: Distance-based scoring that takes singletons into account.
SINGULARITY_CHEAT - Static variable in class elki.clustering.em.models.DiagonalGaussianModel: Constant to avoid zero values.
SINGULARITY_CHEAT - Static variable in class elki.clustering.em.models.MultivariateGaussianModel: Constant to avoid singular matrixes.
SINGULARITY_CHEAT - Static variable in class elki.clustering.em.models.SphericalGaussianModel: Constant to avoid zero values.
SingularValueDecomposition - Class in elki.math.linearalgebra: Singular Value Decomposition.
SingularValueDecomposition(double[][]) - Constructor for class elki.math.linearalgebra.SingularValueDecomposition: Constructor.
sintable - Variable in class elki.math.SinCosTable.FullTable: Data store
sintable - Variable in class elki.math.SinCosTable.HalfTable: Data store
sinusProduct(int, int, double[]) - Static method in class elki.clustering.correlation.cash.ParameterizationFunction: Computes the product of all sinus values of the specified angles from start to end index.
sinZ - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: Cache the Z rotation sine
size - Variable in class elki.clustering.hierarchical.ClusterDistanceMatrix: Number of rows/columns.
size - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Number of points in the cluster (~density)
size - Variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs: Occupied size.
size - Variable in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: The size
size - Variable in class elki.database.ids.integer.IntegerDBIDKNNSubList: Actual size, including ties.
size - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Database size.
size - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection: Size of database to generate.
size - Variable in class elki.evaluation.scores.adapter.DistanceResultAdapter: Number of IDs
size - Variable in class elki.evaluation.scores.adapter.SimpleAdapter: Number of IDs
size - Variable in class elki.index.distancematrix.PrecomputedSimilarityMatrix: Size of DBID range.
size - Variable in class elki.index.tree.betula.CFDistanceMatrix: Number of entries
size - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: List size.
size - Variable in class elki.outlier.density.IsolationForest.Node: Subtree size
size - Variable in class elki.outlier.lof.LOCI.DoubleIntArrayList: Used size
size - Variable in class elki.svm.data.ByteWeightedArrayDataSet
size - Variable in class elki.svm.data.DoubleWeightedDataSet
size - Variable in class elki.svm.qmatrix.CachedQMatrix: Remaining memory (in floats)
size - Variable in class elki.utilities.datastructures.arraylike.DoubleArray: Number of numerical attributes.
size - Variable in class elki.utilities.datastructures.arraylike.ExtendedArray: Our size
size - Variable in class elki.utilities.datastructures.arraylike.IntegerArray: Number of numerical attributes.
size - Variable in class elki.utilities.datastructures.heap.ComparableMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.ComparableMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.ComparatorMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.ComparatorMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleLongMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.Heap: Current number of objects.
size - Variable in class elki.utilities.datastructures.heap.IntegerMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.IntegerMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Current size of heap.
size - Variable in class elki.utilities.datastructures.histogram.AbstractStaticHistogram: Size of array storage.
size - Variable in class elki.visualization.visualizers.parallel.AbstractParallelVisualization: viewbox size
size() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.COPACModel
size() - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Number of elements clustered.
size() - Method in class elki.clustering.optics.ClusterOrder: Size.
size() - Method in class elki.data.Cluster: Delegate to database object group.
size() - Method in class elki.data.LabelList: Size of label list.
size() - Method in class elki.data.spatial.Polygon: Get the polygon length.
size() - Method in interface elki.database.ids.ArrayDBIDs: Size of the DBID "collection".
size() - Method in interface elki.database.ids.DBIDs: Retrieve the collection / data size.
size() - Method in interface elki.database.ids.DoubleDBIDHeap: Current size of heap.
size() - Method in interface elki.database.ids.DoubleDBIDList
size() - Method in class elki.database.ids.EmptyDBIDs
size() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
size() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
size() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs
size() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
size() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
size() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
size() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
size() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
size() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
size() - Method in class elki.database.ids.integer.IntegerDBID
size() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
size() - Method in class elki.database.ids.integer.IntegerDBIDPair
size() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
size() - Method in class elki.database.ids.integer.IntegerDBIDRange
size() - Method in class elki.database.ids.integer.IntegerDBIDVar
size() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
size() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs
size() - Method in class elki.database.relation.ConvertToStringView
size() - Method in class elki.database.relation.DBIDView
size() - Method in class elki.database.relation.MaterializedDoubleRelation
size() - Method in class elki.database.relation.MaterializedRelation
size() - Method in class elki.database.relation.ProjectedView
size() - Method in class elki.database.relation.ProxyView
size() - Method in interface elki.database.relation.Relation: Get the number of DBIDs.
size() - Method in class elki.database.relation.RelationUtil.CollectionFromRelation
size() - Method in class elki.evaluation.clustering.pairsegments.Segments: Get the number of segments
size() - Method in class elki.gui.util.DynamicParameters: Get the size
size() - Method in class elki.gui.util.SavedSettingsFile: Return number of saved settings profiles.
size() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Returns TreeIndexHeader.size() plus the value of MkTreeHeader.SIZE).
size() - Method in class elki.index.tree.spatial.kd.MemoryKDTree.CountingRelation
size() - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: Returns TreeIndexHeader.size() plus the value of RdKNNTreeHeader.SIZE).
size() - Method in class elki.index.tree.TreeIndexHeader: Returns DefaultPageHeader.size() plus the value of TreeIndexHeader.SIZE).
size() - Method in class elki.math.geometry.XYCurve: Size of curve.
size() - Method in class elki.math.geometry.XYPlot.Curve: Size of curve.
size() - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList: Collection size.
size() - Method in class elki.persistent.DefaultPageHeader
size() - Method in interface elki.persistent.PageHeader: Returns the size of this header in Bytes.
size() - Method in interface elki.projection.AffinityMatrix: Number of rows.
size() - Method in class elki.projection.DenseAffinityMatrix
size() - Method in class elki.projection.SparseAffinityMatrix
size() - Method in class elki.result.CollectionResult: Get the collection size.
size() - Method in class elki.svm.data.ByteWeightedArrayDataSet
size() - Method in interface elki.svm.data.DataSet: Size of data set.
size() - Method in class elki.svm.data.DoubleWeightedDataSet
size() - Method in class elki.svm.data.SimilarityQueryAdapter
size() - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Get the size of the array.
size() - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Get the size of the array.
size() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
size() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
size() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
size() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
size() - Method in interface elki.utilities.datastructures.heap.DoubleHeap: Query the size
size() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Query the size.
size() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
size() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
size() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Query the size.
size() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
size() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
size() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
size() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
size() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Query the size.
size() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
size() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
size() - Method in class elki.utilities.datastructures.heap.Heap: Get the heap size.
size() - Method in interface elki.utilities.datastructures.heap.IntegerHeap: Query the size
size() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
size() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
size() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Query the size.
size() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
size() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
size() - Method in interface elki.utilities.datastructures.heap.ObjectHeap: Query the size
size() - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy
size() - Method in interface elki.utilities.datastructures.hierarchy.Hierarchy: Total size - number of objects contained.
size() - Method in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Number of allocated indexes.
size() - Method in class elki.utilities.optionhandling.parameters.ClassListParameter
size() - Method in class elki.utilities.optionhandling.parameters.DoubleArrayListParameter
size() - Method in class elki.utilities.optionhandling.parameters.DoubleListParameter
size() - Method in class elki.utilities.optionhandling.parameters.FileListParameter
size() - Method in class elki.utilities.optionhandling.parameters.IntListParameter
size() - Method in class elki.utilities.optionhandling.parameters.ListParameter: Size of the list.
size(double[]) - Method in class elki.utilities.datastructures.arraylike.DoubleArrayAdapter
size(double[]) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.LowerTriangularAdapter
size(double[][]) - Method in class elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter
size(float[]) - Method in class elki.utilities.datastructures.arraylike.FloatArrayAdapter
size(A) - Method in interface elki.utilities.datastructures.arraylike.ArrayAdapter: Get the size of the array.
size(A) - Method in interface elki.utilities.datastructures.arraylike.NumberArrayAdapter
size(FeatureVector<F>) - Method in class elki.utilities.datastructures.arraylike.FeatureVectorAdapter
size(NumberVector) - Method in class elki.data.projection.FeatureSelection.ProjectedNumberFeatureVectorAdapter
size(NumberVector) - Method in class elki.utilities.datastructures.arraylike.NumberVectorAdapter
size(ArrayDBIDs) - Method in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
size(AbstractNode<? extends SpatialEntry>) - Method in class elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter
size(DoubleArray) - Method in class elki.utilities.datastructures.arraylike.DoubleArray
size(ExtendedArray<T>) - Method in class elki.utilities.datastructures.arraylike.ExtendedArray
size(IntegerArray) - Method in class elki.utilities.datastructures.arraylike.IntegerArray
size(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Static method in class elki.math.statistics.dependence.Dependence.Utils: Validate the length of the two data sets (must be the same, and non-zero)
size(NumberArrayAdapter<?, A>, Collection<? extends A>) - Static method in class elki.math.statistics.dependence.Dependence.Utils: Validate the length of the two data sets (must be the same, and non-zero)
size(T) - Method in interface elki.math.geometry.PrimsMinimumSpanningTree.Adapter: Get number of objects in dataset
size(V) - Method in class elki.data.projection.FeatureSelection.ProjectedFeatureVectorAdapter
SIZE - Static variable in class elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: The size of this header in Bytes, which is 4 Bytes (for MkTreeHeader.k_max).
SIZE - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader: The size of this header in Bytes, which is 4 Bytes (for RdKNNTreeHeader.k_max).
SIZE - Static variable in class elki.index.tree.TreeIndexHeader: The size of this header in Bytes, which is 20 Bytes ( 4 Bytes for TreeIndexHeader.dirCapacity, TreeIndexHeader.leafCapacity, TreeIndexHeader.dirMinimum, TreeIndexHeader.leafMinimum, TreeIndexHeader.emptyPagesSize), and TreeIndexHeader.largestPageID.
SIZE - Static variable in class elki.persistent.DefaultPageHeader: The size of this header in Bytes, which is 8 Bytes ( 4 Bytes for DefaultPageHeader.FILE_VERSION and 4 Bytes for DefaultPageHeader.pageSize).
SIZE_BYTE - Static variable in class elki.utilities.io.ByteArrayUtil: Size of a byte in bytes.
SIZE_DOUBLE - Static variable in class elki.utilities.io.ByteArrayUtil: Size of a double in bytes.
SIZE_FLOAT - Static variable in class elki.utilities.io.ByteArrayUtil: Size of a float in bytes.
SIZE_ID - Static variable in class elki.datasource.filter.selection.FirstNStreamFilter.Par: Option ID for the sample size
SIZE_ID - Static variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Parameter to specify the database size to generate.
SIZE_INT - Static variable in class elki.utilities.io.ByteArrayUtil: Size of an integer in bytes.
SIZE_LONG - Static variable in class elki.utilities.io.ByteArrayUtil: Size of a long in bytes.
SIZE_SCALE_ID - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Parameter to give the configuration file
SIZE_SHORT - Static variable in class elki.utilities.io.ByteArrayUtil: Size of a short in bytes.
size1 - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Number of clusters.
size2 - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Number of clusters.
sizeConstraint - Variable in class elki.utilities.optionhandling.constraints.ListSizeConstraint: The list size constraint.
sizes - Variable in class elki.clustering.hierarchical.ClusterMergeHistory: Cluster size storage.
sizes - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance: (Partial) cluster sizes
sizes - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor: (Partial) cluster sizes
sizes - Variable in class elki.evaluation.classification.holdout.DisjointCrossValidation: Partition assignment and size.
sizes - Variable in class elki.evaluation.classification.holdout.StratifiedCrossValidation: Partition assignment, sizes
sizescale - Variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: Parameter for scaling the cluster sizes.
sizescale - Variable in class elki.datasource.GeneratorXMLDatabaseConnection: Parameter for scaling the cluster sizes.
sizeTolerance - Static variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Sets used for neighborhood computation should be about minSplitSize Sets are still used if they deviate by less (1+/- sizeTolerance)
skew - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par: Parameters
skew - Variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Skew.
SKEW_ID - Static variable in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par: Skew parameter
SkewGeneralizedNormalDistribution - Class in elki.math.statistics.distribution: Generalized normal distribution by adding a skew term, similar to lognormal distributions.
SkewGeneralizedNormalDistribution(double, double, double) - Constructor for class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Constructor for Gaussian distribution
SkewGeneralizedNormalDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
SkewGNormalLMMEstimator - Class in elki.math.statistics.distribution.estimator: Estimate the parameters of a skew Normal Distribution (Hoskin's Generalized Normal Distribution), using the methods of L-Moments (LMM).
SkewGNormalLMMEstimator() - Constructor for class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator: Constructor.
SkewGNormalLMMEstimator.Par - Class in elki.math.statistics.distribution.estimator: Parameterization class.
skip - Variable in class elki.evaluation.scores.adapter.FilteredDistanceResultAdapter: DBID to skip (usually: query object).
skipzero - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par: Skip zero values.
skipzero - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: Skip zero values.
SKIPZERO_ID - Static variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par: OptionID to skip zero values when plotting to increase contrast.
slice(int, int) - Method in interface elki.database.ids.ArrayDBIDs: Slice a subarray (as view, not copy!)
slice(int, int) - Method in interface elki.database.ids.DoubleDBIDList: Get a subset list.
slice(int, int) - Method in class elki.database.ids.EmptyDBIDs
slice(int, int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
slice(int, int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
slice(int, int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs
slice(int, int) - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
slice(int, int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
slice(int, int) - Method in interface elki.database.ids.integer.DoubleIntegerDBIDList
slice(int, int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
slice(int, int) - Method in interface elki.database.ids.integer.IntegerArrayDBIDs
slice(int, int) - Method in class elki.database.ids.integer.IntegerDBID
slice(int, int) - Method in class elki.database.ids.integer.IntegerDBIDPair
slice(int, int) - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice
slice(int, int) - Method in class elki.database.ids.integer.IntegerDBIDRange
slice(int, int) - Method in class elki.database.ids.integer.IntegerDBIDVar
slice(int, int) - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
Slice(int, int) - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice: Constructor.
Slice(int, int) - Constructor for class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice: Constructor.
Slice(int, int) - Constructor for class elki.database.ids.integer.IntegerDBIDPair.Slice: Constructor.
SliceItr() - Constructor for class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
SliceItr() - Constructor for class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
SliceItr() - Constructor for class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
SLINK<O> - Class in elki.clustering.hierarchical: Implementation of the efficient Single-Link Algorithm SLINK of R.
SLINK(Distance<? super O>) - Constructor for class elki.clustering.hierarchical.SLINK: Constructor.
SLINK.Par<O> - Class in elki.clustering.hierarchical: Parameterization class.
SLINKHDBSCANLinearMemory<O> - Class in elki.clustering.hierarchical: Linear memory implementation of HDBSCAN clustering based on SLINK.
SLINKHDBSCANLinearMemory(Distance<? super O>, int) - Constructor for class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Constructor.
slinkstep3(DBIDRef, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINK: Third step: Determine the values for P and L
slinkstep4(DBIDRef, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINK: Fourth step: Actualize the clusters if necessary
SLOM<N,O> - Class in elki.outlier.spatial: SLOM: a new measure for local spatial outliers
SLOM(NeighborSetPredicate.Factory<N>, PrimitiveDistance<O>) - Constructor for class elki.outlier.spatial.SLOM: Constructor.
SlopeDependence - Class in elki.math.statistics.dependence: Arrange dimensions based on the entropy of the slope spectrum.
SlopeDependence() - Constructor for class elki.math.statistics.dependence.SlopeDependence: Constructor.
SlopeDependence.Par - Class in elki.math.statistics.dependence: Parameterization class.
SlopeInversionDependence - Class in elki.math.statistics.dependence: Arrange dimensions based on the entropy of the slope spectrum.
SlopeInversionDependence() - Constructor for class elki.math.statistics.dependence.SlopeInversionDependence: Constructor.
SlopeInversionDependence.Par - Class in elki.math.statistics.dependence: Parameterization class.
slurp(InputStream) - Static method in class elki.utilities.io.FileUtil: Load an input stream (e.g., a Java resource) into a String buffer.
small - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: "Small value" condition for stopping
SMALL - Static variable in class elki.database.ids.QuickSelectDBIDs: For small arrays, use a simpler method:
SMALL - Static variable in class elki.math.statistics.tests.AndersonDarlingTest: Cut-off for extreme values.
SMALL - Static variable in class elki.utilities.datastructures.QuickSelect: For small arrays, use a simpler method:
SmallDenseItemset - Class in elki.itemsetmining: Frequent itemset, dense representation for up to 64 items.
SmallDenseItemset(long, int) - Constructor for class elki.itemsetmining.SmallDenseItemset: Constructor.
SmallMemoryKDTree<O extends NumberVector> - Class in elki.index.tree.spatial.kd: Simple implementation of a static in-memory K-D-tree.
SmallMemoryKDTree(Relation<O>, int) - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree: Constructor.
SmallMemoryKDTree.Factory<O extends NumberVector> - Class in elki.index.tree.spatial.kd: Factory class
SmallMemoryKDTree.Factory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.kd: Parameterization class.
SmallMemoryKDTree.KDTreeKNNSearcher - Class in elki.index.tree.spatial.kd: kNN query for the k-d-tree.
SmallMemoryKDTree.KDTreePrioritySearcher - Class in elki.index.tree.spatial.kd: Priority search for the k-d-tree.
SmallMemoryKDTree.KDTreeRangeSearcher - Class in elki.index.tree.spatial.kd: Range query for the k-d-tree.
SmallMemoryKDTree.PrioritySearchBranch - Class in elki.index.tree.spatial.kd: Search position for priority search.
SmallSerializer() - Constructor for class elki.data.ByteVector.SmallSerializer
SmallSerializer() - Constructor for class elki.data.DoubleVector.SmallSerializer
SmallSerializer() - Constructor for class elki.data.FloatVector.SmallSerializer
SmallSerializer() - Constructor for class elki.data.IntegerVector.SmallSerializer
SMAUROC_LABEL - Static variable in class elki.evaluation.outlier.OutlierSmROCCurve: The label we use for marking AUROC values.
smFFirst - Variable in class elki.evaluation.clustering.SetMatchingPurity: Result cache
smFSecond - Variable in class elki.evaluation.clustering.SetMatchingPurity: Result cache
smInversePurity - Variable in class elki.evaluation.clustering.SetMatchingPurity: Result cache
smoothCubicTo(double[], double[]) - Method in class elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given coordinates.
smoothCubicTo(double, double, double, double) - Method in class elki.visualization.svg.SVGPath: Smooth Cubic Bezier line to the given coordinates.
smoothQuadTo(double[]) - Method in class elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given coordinates.
smoothQuadTo(double, double) - Method in class elki.visualization.svg.SVGPath: Smooth quadratic Bezier line to the given coordinates.
smp - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Set matching purity measures
smPurity - Variable in class elki.evaluation.clustering.SetMatchingPurity: Result cache
SmROCResult(int) - Constructor for class elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult: Constructor.
SNE<O> - Class in elki.projection: Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.
SNE(AffinityMatrixBuilder<? super O>, int, double, double, int, RandomFactory, boolean) - Constructor for class elki.projection.SNE: Constructor.
SNE(AffinityMatrixBuilder<? super O>, int, RandomFactory) - Constructor for class elki.projection.SNE: Constructor with default values.
SNNClustering<O> - Class in elki.clustering: Shared nearest neighbor clustering.
SNNClustering(SharedNearestNeighborSimilarity<O>, int, int) - Constructor for class elki.clustering.SNNClustering: Constructor.
SOD<V extends NumberVector> - Class in elki.outlier.subspace: Subspace Outlier Degree: Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.
SOD(int, double, Similarity<V>, boolean) - Constructor for class elki.outlier.subspace.SOD: Constructor with parameters.
SOD.Par<V extends NumberVector> - Class in elki.outlier.subspace: Parameterization class.
SOD.SODModel - Class in elki.outlier.subspace: SOD Model class
SODModel(double[], long[]) - Constructor for class elki.outlier.subspace.SOD.SODModel: Initialize SOD Model
SOF<N,O> - Class in elki.outlier.spatial: The Spatial Outlier Factor (SOF) is a spatial LOF variation.
SOF(NeighborSetPredicate.Factory<N>, PrimitiveDistance<O>) - Constructor for class elki.outlier.spatial.SOF: Constructor.
soft - Variable in class elki.clustering.em.BetulaGMM.Par: Retain soft assignments.
soft - Variable in class elki.clustering.em.BetulaGMM: Retain soft assignments.
soft - Variable in class elki.clustering.em.EM.Par: Retain soft assignments?
soft - Variable in class elki.clustering.em.EM: Retain soft assignments.
soft - Variable in class elki.clustering.em.KDTreeEM.Par: Retain soft assignments?
soft - Variable in class elki.clustering.em.KDTreeEM: Retain soft assignments.
soft - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par: retain soft assignments
soft - Variable in class elki.clustering.kmeans.FuzzyCMeans: Retain soft assignments.
SOFT_ID - Static variable in class elki.clustering.em.EM.Par: Parameter to specify the saving of soft assignments
SOFT_ID - Static variable in class elki.clustering.em.KDTreeEM.Par: Parameter to specify the saving of soft assignments
SOFT_ID - Static variable in class elki.clustering.kmeans.FuzzyCMeans.Par: Parameter to retain soft assignments
SOFT_TYPE - Static variable in class elki.clustering.em.BetulaGMM: Soft assignment result type.
SOFT_TYPE - Static variable in class elki.clustering.em.EM: Soft assignment result type.
SOFT_TYPE - Static variable in class elki.clustering.em.KDTreeEM: Soft assignment result type.
SOFT_TYPE - Static variable in class elki.clustering.kmeans.FuzzyCMeans: Soft assignment result type.
softBorder - Variable in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Soft or hard border
SolidLineStyleLibrary - Class in elki.visualization.style.lines: Line style library featuring solid lines for default styles only (combine with a color library to obtain enough classes!)
SolidLineStyleLibrary(StyleLibrary) - Constructor for class elki.visualization.style.lines.SolidLineStyleLibrary: Constructor.
solidreplacement - Variable in class elki.visualization.style.lines.DashedLineStyleLibrary: Replacement for the solid pattern in 'interpolated' mode
SolutionInfo() - Constructor for class elki.svm.solver.Solver.SolutionInfo
solutionToString(int) - Method in class elki.math.linearalgebra.LinearEquationSystem: Returns a string representation of the solution of this equation system.
solvable - Variable in class elki.math.linearalgebra.LinearEquationSystem: Indicates if linear equation system is solvable.
solve(double[]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve A*X = b
solve(double[]) - Method in class elki.math.linearalgebra.LUDecomposition: Solve A*X = b
solve(double[]) - Method in class elki.math.linearalgebra.QRDecomposition: Least squares solution of A*X = b
solve(double[][]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve A*X = B
solve(double[][]) - Method in class elki.math.linearalgebra.LUDecomposition: Solve A*X = B
solve(double[][]) - Method in class elki.math.linearalgebra.QRDecomposition: Least squares solution of A*X = B
solve(double[][], double[]) - Static method in class elki.math.linearalgebra.VMath: Solve A*X = b
solve(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Solve A*X = B
solve(double[][], double[], double, double[], double[], double[]) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver: Calculate \( 0.5 x^T A x + b + c \) we use it in KDTrees with \( b = (0)^d \) and \( c = 0 \).
solve(int) - Method in class elki.math.linearalgebra.LinearEquationSystem: solves linear system with the chosen method
solve(int, QMatrix, double[], byte[], double[], double, double, double, boolean) - Method in class elki.svm.solver.Solver
solve(DataSet) - Method in class elki.svm.AbstractSingleSVM
solve(DataSet) - Method in class elki.svm.CSVC
solve(DataSet) - Method in class elki.svm.EpsilonSVR
solve(DataSet) - Method in class elki.svm.NuSVC
solve(DataSet) - Method in class elki.svm.NuSVR
solve(DataSet) - Method in class elki.svm.OneClassSVM
solve(DataSet) - Method in class elki.svm.R2q
solve(DataSet) - Method in class elki.svm.SVDD
solveByTotalPivotSearch() - Method in class elki.math.linearalgebra.LinearEquationSystem: Solves this linear equation system by total pivot search.
solveByTrivialPivotSearch() - Method in class elki.math.linearalgebra.LinearEquationSystem: Solves this linear equation system by trivial pivot search.
solved - Variable in class elki.math.linearalgebra.LinearEquationSystem: Indicates if solvability has been checked.
solveInplace(double[]) - Method in class elki.math.linearalgebra.LUDecomposition: Solve A*X = b
solveInplace(double[]) - Method in class elki.math.linearalgebra.QRDecomposition: Least squares solution of A*X = b
solveInplace(double[][]) - Method in class elki.math.linearalgebra.LUDecomposition: Solve A*X = B
solveInplace(double[][]) - Method in class elki.math.linearalgebra.QRDecomposition: Least squares solution of A*X = B
solveL(double[][]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve L*Y = B
solveLInplace(double[]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve L*X = b, modifying X.
solveLtransposed(double[]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve L^T*X = Y
solveLtransposed(double[][]) - Method in class elki.math.linearalgebra.CholeskyDecomposition: Solve L^T*X = Y
solver - Variable in class elki.clustering.em.KDTreeEM: Solver for quadratic problems
Solver - Class in elki.svm.solver: SMO solver for support vector machines, derived from libSVM.
Solver() - Constructor for class elki.svm.solver.Solver
Solver.SolutionInfo - Class in elki.svm.solver
sort - Variable in class elki.evaluation.scores.adapter.AbstractVectorIter: Order of dimensions.
sort() - Method in interface elki.database.ids.ArrayModifiableDBIDs: Sort the DBID set.
sort() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
sort() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
sort() - Method in interface elki.database.ids.ModifiableDoubleDBIDList: Sort the result in ascending order
sort() - Method in class elki.outlier.lof.LOCI.DoubleIntArrayList: Sort the array list.
sort() - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Sort the contents.
sort() - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Sort the contents.
sort() - Method in class elki.visualization.gui.overview.PlotItem: Sort all visualizers for their proper drawing order
sort(double[], int[], int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort the full array using the given comparator.
sort(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort the array using the given comparator.
sort(int[], int, int, IntComparator) - Static method in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Sort the array using the given comparator.
sort(int[], int, int, Comparator<? super DBIDRef>) - Static method in class elki.database.ids.integer.IntegerDBIDArrayQuickSort: Sort the array using the given comparator.
sort(int[], IntComparator) - Static method in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: Sort the full array using the given comparator.
sort(int[], Comparator<? super DBIDRef>) - Static method in class elki.database.ids.integer.IntegerDBIDArrayQuickSort: Sort the full array using the given comparator.
sort(int, int, Comparator<? super DBIDRef>) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Sort the DBID set.
sort(int, int, Comparator<? super DBIDRef>) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
sort(Comparator<? super DBIDRef>) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Sort the DBID set.
sort(Comparator<? super DBIDRef>) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
sort(List<? extends SpatialComparable>) - Method in interface elki.math.spacefillingcurves.SpatialSorter: Partitions the specified feature vectors
sort(List<? extends SpatialComparable>, int, int, double[], int[]) - Method in class elki.math.spacefillingcurves.BinarySplitSpatialSorter
sort(List<? extends SpatialComparable>, int, int, double[], int[]) - Method in class elki.math.spacefillingcurves.HilbertSpatialSorter
sort(List<? extends SpatialComparable>, int, int, double[], int[]) - Method in class elki.math.spacefillingcurves.PeanoSpatialSorter
sort(List<? extends SpatialComparable>, int, int, double[], int[]) - Method in interface elki.math.spacefillingcurves.SpatialSorter: Sort part of the list (start to end).
sort(List<? extends SpatialComparable>, int, int, double[], int[]) - Method in class elki.math.spacefillingcurves.ZCurveSpatialSorter
SORT_BY_CONTRAST_ASC - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace: Sort subspaces by their actual subspace.
SORT_BY_CONTRAST_DESC - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace: Sort subspaces by their actual subspace.
SORT_BY_NAME - Static variable in class elki.utilities.ELKIServiceScanner: Sort classes by their class name.
SORT_BY_PRIORITY - Static variable in class elki.utilities.ELKIServiceScanner: Comparator to sort classes by priority, then alphabetic.
SORT_BY_SUBSPACE - Static variable in class elki.outlier.meta.HiCS.HiCSSubspace: Sort subspaces by their actual subspace.
sort5(double[], int[], int, int, int, int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: An explicit sort, for the five pivot candidates.
sort5(int[], int, int, int, int, int, IntComparator) - Static method in class elki.utilities.datastructures.arrays.IntegerArrayQuickSort: An explicit sort, for the five pivot candidates.
sortAxes() - Method in class elki.visualization.parallel3d.Parallel3DRenderer: Depth-sort the axes.
SortByLabelFilter - Class in elki.datasource.filter.selection: A filter to sort the data set by some label.
SortByLabelFilter() - Constructor for class elki.datasource.filter.selection.SortByLabelFilter: Constructor.
sortClusters(Relation<? extends NumberVector>, Object2ObjectMap<long[], List<ArrayModifiableDBIDs>>) - Method in class elki.clustering.subspace.DiSH: Returns a sorted list of the clusters w.r.t. the subspace dimensionality in descending order.
SortDBIDsBySingleDimension(Relation<? extends NumberVector>) - Constructor for class elki.data.VectorUtil.SortDBIDsBySingleDimension: Constructor.
SortDBIDsBySingleDimension(Relation<? extends NumberVector>, int) - Constructor for class elki.data.VectorUtil.SortDBIDsBySingleDimension: Constructor.
sortDescending() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
sortDescending() - Method in interface elki.database.ids.ModifiableDoubleDBIDList: Sort the result in descending order
sorted - Variable in class elki.clustering.em.KDTreeEM: kd-tree object order
sorted - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: The tree stored as ArrayModifiableDBIDs
sorted - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Sorting position
sorted - Variable in class elki.index.tree.metrical.vptree.GNAT: Distance storage for building
sorted - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: The actual "tree" as a sorted array.
sorted - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: The actual "tree" as a sorted array.
sorted - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: The actual "tree" as a sorted array.
sortEdges(int[]) - Method in class elki.visualization.parallel3d.Parallel3DRenderer: Sort the edges for rendering.
sortedIndex(NumberArrayAdapter<?, A>, A, int) - Static method in class elki.math.statistics.dependence.Dependence.Utils: Build a sorted index of objects.
sortEigen() - Method in class elki.math.linearalgebra.EigenvalueDecomposition
sorter - Variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Par: Sorting class
sorter - Variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit: Sorting class
Sorter() - Constructor for class elki.clustering.subspace.DiSH.Instance.Sorter
Sorter() - Constructor for class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter
Sorter(int) - Constructor for class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Sorter: Constructor.
SORTER_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Par: Option ID for spatial sorting
SortMeans<V extends NumberVector> - Class in elki.clustering.kmeans: Sort-Means: Accelerated k-means by exploiting the triangle inequality and pairwise distances of means to prune candidate means (with sorting).
SortMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.SortMeans: Constructor.
SortMeans.Instance - Class in elki.clustering.kmeans: Inner instance, storing state for a single data set.
SortMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans: Parameterization class.
sortReverse(double[], int[], int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort the full array using the given comparator.
sortReverse(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Sort the array using the given comparator.
sortReverse5(double[], int[], int, int, int, int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: An explicit sort, for the five pivot candidates.
sortSilhouette(Clustering<?>, DoubleRelation) - Static method in class elki.visualization.projector.SilhouettePlotProjector: Sort the silhouettes for visualization.
SortTileRecursiveBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk: Sort-Tile-Recursive aims at tiling the data space with a grid-like structure for partitioning the dataset into the required number of buckets.
SortTileRecursiveBulkSplit() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit
SortTileRecursiveBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk: Parameterization class.
SortVectorsBySingleDimension() - Constructor for class elki.data.VectorUtil.SortVectorsBySingleDimension: Constructor.
SortVectorsBySingleDimension(int) - Constructor for class elki.data.VectorUtil.SortVectorsBySingleDimension: Constructor.
SOS<O> - Class in elki.outlier.distance: Stochastic Outlier Selection.
SOS(Distance<? super O>, double) - Constructor for class elki.outlier.distance.SOS: Constructor.
source - Variable in class elki.datasource.filter.AbstractStreamFilter: Data source
sources - Variable in class elki.datasource.ExternalIDJoinDatabaseConnection.Par: The data souces to use.
sources - Variable in class elki.datasource.ExternalIDJoinDatabaseConnection: The filters to invoke
sources - Variable in class elki.datasource.LabelJoinDatabaseConnection.Par: The data souces to use.
sources - Variable in class elki.datasource.LabelJoinDatabaseConnection: The filters to invoke
sources - Variable in class elki.datasource.PresortedBlindJoinDatabaseConnection.Par: The data souces to use.
sources - Variable in class elki.datasource.PresortedBlindJoinDatabaseConnection: The filters to invoke
SOURCES_ID - Static variable in class elki.datasource.ExternalIDJoinDatabaseConnection.Par: The static option ID
SOURCES_ID - Static variable in class elki.datasource.LabelJoinDatabaseConnection.Par: The static option ID
SOURCES_ID - Static variable in class elki.datasource.PresortedBlindJoinDatabaseConnection.Par: The static option ID
SPACE_SCALE_ID - Static variable in class elki.utilities.referencepoints.AxisBasedReferencePoints.Par: Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
SpacefillingKNNPreprocessor<O extends NumberVector> - Class in elki.index.preprocessed.knn: Compute the nearest neighbors approximatively using space filling curves.
SpacefillingKNNPreprocessor(Relation<O>, List<? extends SpatialSorter>, double, int, int, RandomProjectionFamily, Random) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Constructor.
SpacefillingKNNPreprocessor.Factory<V extends NumberVector> - Class in elki.index.preprocessed.knn: Index factory class
SpacefillingKNNPreprocessor.Factory.Par - Class in elki.index.preprocessed.knn: Parameterization class.
SpacefillingKNNPreprocessor.SpaceFillingKNNQuery - Class in elki.index.preprocessed.knn: KNN Query processor for space filling curves
SpaceFillingKNNQuery(DistanceQuery<O>) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.SpaceFillingKNNQuery: Constructor.
SpacefillingMaterializeKNNPreprocessor<O extends NumberVector> - Class in elki.index.preprocessed.knn: Compute the nearest neighbors approximatively using space filling curves.
SpacefillingMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int, List<? extends SpatialSorter>, double, int, Random) - Constructor for class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor: Constructor.
SpacefillingMaterializeKNNPreprocessor.Factory<V extends NumberVector> - Class in elki.index.preprocessed.knn: Index factory class
SPACEPADDING - Static variable in class elki.utilities.io.FormatUtil: Buffer for whitespace padding.
SPACES - Static variable in class elki.itemsetmining.FPGrowth.FPNode: Buffer for indentation.
spacescale - Variable in class elki.utilities.referencepoints.AxisBasedReferencePoints.Par: Holds the value of AxisBasedReferencePoints.Par.SPACE_SCALE_ID.
spacescale - Variable in class elki.utilities.referencepoints.AxisBasedReferencePoints: Scaling factor.
SPARSE_DOUBLE_FIELD - Static variable in class elki.data.type.TypeUtil: Sparse double vector field.
SPARSE_FLOAT_FIELD - Static variable in class elki.data.type.TypeUtil: Sparse float vector field.
SPARSE_VECTOR_FIELD - Static variable in class elki.data.type.TypeUtil: Sparse vector field.
SPARSE_VECTOR_VARIABLE_LENGTH - Static variable in class elki.data.type.TypeUtil: Sparse float vector field.
SparseAffinityMatrix - Class in elki.projection: Dense affinity matrix storage.
SparseAffinityMatrix(double[][], int[][], ArrayDBIDs) - Constructor for class elki.projection.SparseAffinityMatrix
SparseByteVector - Class in elki.data: Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
SparseByteVector(byte[]) - Constructor for class elki.data.SparseByteVector: Create a SparseByteVector consisting of double values according to the specified mapping of indices and values.
SparseByteVector(int[], byte[], int) - Constructor for class elki.data.SparseByteVector: Direct constructor.
SparseByteVector(Int2DoubleOpenHashMap, int) - Constructor for class elki.data.SparseByteVector: Create a SparseByteVector consisting of double values according to the specified mapping of indices and values.
SparseByteVector.Factory - Class in elki.data: Factory class.
SparseByteVector.Factory.Par - Class in elki.data: Parameterization class.
SparseByteVector.VariableSerializer - Class in elki.data: Serialization class using VarInt encodings.
SparseDoubleVector - Class in elki.data: Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
SparseDoubleVector(double[]) - Constructor for class elki.data.SparseDoubleVector: Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.
SparseDoubleVector(int[], double[], int) - Constructor for class elki.data.SparseDoubleVector: Direct constructor.
SparseDoubleVector(Int2DoubleOpenHashMap, int) - Constructor for class elki.data.SparseDoubleVector: Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.
SparseDoubleVector.Factory - Class in elki.data: Factory class.
SparseDoubleVector.Factory.Par - Class in elki.data: Parameterization class.
SparseDoubleVector.VariableSerializer - Class in elki.data: Serialization class using VarInt encodings.
SparseEuclideanDistance - Class in elki.distance.minkowski: Euclidean distance function, optimized for SparseNumberVectors.
SparseEuclideanDistance() - Constructor for class elki.distance.minkowski.SparseEuclideanDistance: Deprecated.
Use static instance instead.
SparseEuclideanDistance.Par - Class in elki.distance.minkowski: Parameterizer
sparsefactory - Variable in class elki.datasource.parser.SparseNumberVectorLabelParser: Same as NumberVectorLabelParser.factory, but subtype.
sparsefactory - Variable in class elki.datasource.parser.TermFrequencyParser: Same as NumberVectorLabelParser.factory, but subtype.
SparseFeatureVector<D> - Interface in elki.data: Extended interface for sparse feature vector types.
SparseFloatVector - Class in elki.data: Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
SparseFloatVector(float[]) - Constructor for class elki.data.SparseFloatVector: Create a SparseFloatVector consisting of double values according to the specified mapping of indices and values.
SparseFloatVector(int[], float[], int) - Constructor for class elki.data.SparseFloatVector: Direct constructor.
SparseFloatVector(Int2FloatOpenHashMap, int) - Constructor for class elki.data.SparseFloatVector: Create a SparseFloatVector consisting of double values according to the specified mapping of indices and values.
SparseFloatVector.Factory - Class in elki.data: Factory class.
SparseFloatVector.Factory.Par - Class in elki.data: Parameterization class.
SparseFloatVector.VariableSerializer - Class in elki.data: Serialization class using VarInt encodings.
SparseIntegerVector - Class in elki.data: Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
SparseIntegerVector(int[]) - Constructor for class elki.data.SparseIntegerVector: Create a SparseIntegerVector consisting of double values according to the specified mapping of indices and values.
SparseIntegerVector(int[], int[], int) - Constructor for class elki.data.SparseIntegerVector: Direct constructor.
SparseIntegerVector(Int2DoubleOpenHashMap, int) - Constructor for class elki.data.SparseIntegerVector: Create a SparseIntegerVector consisting of double values according to the specified mapping of indices and values.
SparseIntegerVector.Factory - Class in elki.data: Factory class.
SparseIntegerVector.Factory.Par - Class in elki.data: Parameterization class.
SparseIntegerVector.VariableSerializer - Class in elki.data: Serialization class using VarInt encodings.
SparseItemset - Class in elki.itemsetmining: Frequent itemset, sparse representation.
SparseItemset(int[]) - Constructor for class elki.itemsetmining.SparseItemset: Constructor.
SparseItemset(int[], int) - Constructor for class elki.itemsetmining.SparseItemset: Constructor with initial support.
SparseItemset(OneItemset, OneItemset) - Constructor for class elki.itemsetmining.SparseItemset: Constructor from existing itemsets.
SparseLPNormDistance - Class in elki.distance.minkowski: L_p-Norm, optimized for SparseNumberVectors.
SparseLPNormDistance(double) - Constructor for class elki.distance.minkowski.SparseLPNormDistance: Constructor.
SparseLPNormDistance.Par - Class in elki.distance.minkowski: Parameterizer
SparseManhattanDistance - Class in elki.distance.minkowski: Manhattan distance, optimized for SparseNumberVectors.
SparseManhattanDistance() - Constructor for class elki.distance.minkowski.SparseManhattanDistance: Deprecated.
Use static instance instead.
SparseManhattanDistance.Par - Class in elki.distance.minkowski: Parameterizer
SparseMaximumDistance - Class in elki.distance.minkowski: Maximum distance, optimized for SparseNumberVectors.
SparseMaximumDistance() - Constructor for class elki.distance.minkowski.SparseMaximumDistance: Deprecated.
Use static instance
SparseMaximumDistance.Par - Class in elki.distance.minkowski: Parameterizer
sparseMeans(List<? extends DBIDs>, double[][], Relation<? extends SparseNumberVector>) - Static method in class elki.clustering.kmeans.AbstractKMeans: Returns the mean vectors of the given clusters in the given database.
SparseNumberVector - Interface in elki.data: Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory<V extends SparseNumberVector> - Interface in elki.data: Factory for sparse number vectors: make from a dim-value map.
SparseNumberVectorLabelParser<V extends SparseNumberVector> - Class in elki.datasource.parser: Parser for parsing one point per line, attributes separated by whitespace.
SparseNumberVectorLabelParser(CSVReaderFormat, long[], SparseNumberVector.Factory<V>) - Constructor for class elki.datasource.parser.SparseNumberVectorLabelParser: Constructor.
SparseNumberVectorLabelParser(Pattern, String, Pattern, long[], SparseNumberVector.Factory<V>) - Constructor for class elki.datasource.parser.SparseNumberVectorLabelParser: Constructor.
SparseNumberVectorLabelParser.Par<V extends SparseNumberVector> - Class in elki.datasource.parser: Parameterization class.
sparsePlusEquals(double[], SparseNumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Similar to VMath.plusEquals, but for sparse number vectors.
sparsePlusMinusEquals(double[], double[], SparseNumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Add to one, remove from another.
SparseShortVector - Class in elki.data: Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.
SparseShortVector(int[], short[], int) - Constructor for class elki.data.SparseShortVector: Direct constructor.
SparseShortVector(short[]) - Constructor for class elki.data.SparseShortVector: Create a SparseShortVector consisting of double values according to the specified mapping of indices and values.
SparseShortVector(Int2DoubleOpenHashMap, int) - Constructor for class elki.data.SparseShortVector: Create a SparseShortVector consisting of double values according to the specified mapping of indices and values.
SparseShortVector.Factory - Class in elki.data: Factory class.
SparseShortVector.Factory.Par - Class in elki.data: Parameterization class.
SparseShortVector.VariableSerializer - Class in elki.data: Serialization class using VarInt encodings.
SparseSquaredEuclideanDistance - Class in elki.distance.minkowski: Squared Euclidean distance function, optimized for SparseNumberVectors.
SparseSquaredEuclideanDistance() - Constructor for class elki.distance.minkowski.SparseSquaredEuclideanDistance: Deprecated.
Use static instance instead.
SparseSquaredEuclideanDistance.Par - Class in elki.distance.minkowski: Parameterizer
SparseVectorFieldFilter<V extends SparseNumberVector> - Class in elki.datasource.filter.typeconversions: Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.
SparseVectorFieldFilter() - Constructor for class elki.datasource.filter.typeconversions.SparseVectorFieldFilter: Constructor.
sparsity - Variable in class elki.data.projection.random.AchlioptasRandomProjectionFamily.Par: Projection sparsity
sparsity - Variable in class elki.data.projection.random.AchlioptasRandomProjectionFamily: Projection sparsity.
sparsity(int, int, int, double) - Static method in class elki.outlier.subspace.AbstractAggarwalYuOutlier: Method to calculate the sparsity coefficient of.
SPARSITY_ID - Static variable in class elki.data.projection.random.AchlioptasRandomProjectionFamily.Par: Parameter for the projection sparsity.
SPATIAL_OBJECT - Static variable in class elki.data.type.TypeUtil: Spatial objects.
SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector> - Class in elki.index.preprocessed.knn: A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
SpatialApproximationMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int) - Constructor for class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor: Constructor
SpatialApproximationMaterializeKNNPreprocessor.Factory - Class in elki.index.preprocessed.knn: The actual preprocessor instance.
SpatialApproximationMaterializeKNNPreprocessor.Factory.Par - Class in elki.index.preprocessed.knn: Parameterization class.
SpatialComparable - Interface in elki.data.spatial: Defines the required methods needed for comparison of spatial objects.
SpatialDirectoryEntry - Class in elki.index.tree.spatial: Represents an entry in a directory node of a spatial index.
SpatialDirectoryEntry() - Constructor for class elki.index.tree.spatial.SpatialDirectoryEntry: Empty constructor for serialization purposes.
SpatialDirectoryEntry(int, ModifiableHyperBoundingBox) - Constructor for class elki.index.tree.spatial.SpatialDirectoryEntry: Constructs a new SpatialDirectoryEntry object with the given parameters.
SpatialDistanceQuery<V extends SpatialComparable> - Interface in elki.database.query.distance: Query interface for spatial distance queries.
SpatialEntry - Interface in elki.index.tree.spatial: Defines the requirements for an entry in a node of a spatial index.
SpatialObjectPair(double, DeLiCluEntry, DeLiCluEntry, boolean) - Constructor for class elki.clustering.optics.DeLiClu.SpatialObjectPair: Creates a new entry with the specified parameters.
SpatialPair<K,V extends SpatialComparable> - Class in elki.index.preprocessed.knn: Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.
SpatialPair(K, V) - Constructor for class elki.index.preprocessed.knn.SpatialPair: Constructor: bundle a key and a spatial comparable
SpatialPointLeafEntry - Class in elki.index.tree.spatial: Represents an entry in a leaf node of a spatial index.
SpatialPointLeafEntry() - Constructor for class elki.index.tree.spatial.SpatialPointLeafEntry: Empty constructor for serialization purposes.
SpatialPointLeafEntry(DBID, double[]) - Constructor for class elki.index.tree.spatial.SpatialPointLeafEntry: Constructs a new LeafEntry object with the given parameters.
SpatialPointLeafEntry(DBID, NumberVector) - Constructor for class elki.index.tree.spatial.SpatialPointLeafEntry: Constructor from number vector.
SpatialPrimitiveDistance<V extends SpatialComparable> - Interface in elki.distance: API for a spatial primitive distance function.
SpatialPrimitiveDistanceQuery<V extends SpatialComparable> - Class in elki.database.query.distance: Distance query for spatial distance functions
SpatialPrimitiveDistanceQuery(Relation<? extends V>, SpatialPrimitiveDistance<? super V>) - Constructor for class elki.database.query.distance.SpatialPrimitiveDistanceQuery
SpatialPrimitiveDistanceSimilarityQuery<O extends SpatialComparable> - Class in elki.database.query.distance: Combination query class, to allow combined implementations of spatial distances and similarities.
SpatialPrimitiveDistanceSimilarityQuery(Relation<? extends O>, SpatialPrimitiveDistance<? super O>, PrimitiveSimilarity<? super O>) - Constructor for class elki.database.query.distance.SpatialPrimitiveDistanceSimilarityQuery: Constructor.
SpatialSingleMaxComparator - Class in elki.data.spatial: Comparator for sorting spatial objects by the maximum value in a single dimension.
SpatialSingleMaxComparator(int) - Constructor for class elki.data.spatial.SpatialSingleMaxComparator: Constructor.
SpatialSingleMeanComparator - Class in elki.data.spatial: Comparator for sorting spatial objects by the mean value in a single dimension.
SpatialSingleMeanComparator(int) - Constructor for class elki.data.spatial.SpatialSingleMeanComparator: Constructor.
SpatialSingleMinComparator - Class in elki.data.spatial: Comparator for sorting spatial objects by the minimum value in a single dimension.
SpatialSingleMinComparator(int) - Constructor for class elki.data.spatial.SpatialSingleMinComparator: Constructor.
SpatialSortBulkSplit - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk: Bulk loading by spatially sorting the objects, then partitioning the sorted list appropriately.
SpatialSortBulkSplit(SpatialSorter) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit: Constructor.
SpatialSortBulkSplit.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.bulk: Parametization class
SpatialSorter - Interface in elki.math.spacefillingcurves: Interface for spatial sorting - ZCurves, Peano curves, Hilbert curves, ...
SpatialUtil - Class in elki.data.spatial: Utility class with spatial functions.
SpatialUtil() - Constructor for class elki.data.spatial.SpatialUtil: Fake constructor: do not instantiate.
SpearmanCorrelationDependence - Class in elki.math.statistics.dependence: Spearman rank-correlation coefficient, also known as Spearmans Rho.
SpearmanCorrelationDependence() - Constructor for class elki.math.statistics.dependence.SpearmanCorrelationDependence: Constructor - use SpearmanCorrelationDependence.STATIC instance.
SpearmanCorrelationDependence.Par - Class in elki.math.statistics.dependence: Parameterization class
spec - Variable in class elki.clustering.subspace.P3C.Signature: Subspace specification
specfile - Variable in class elki.datasource.GeneratorXMLDatabaseConnection.Par: The configuration file.
specfile - Variable in class elki.datasource.GeneratorXMLDatabaseConnection: The configuration file.
special - Variable in class elki.utilities.datastructures.histogram.ObjHistogram: Special value storage: infinity, NaN
SphereUtil - Class in elki.math.geodesy: Class with utility functions for distance computations on the sphere.
SphereUtil() - Constructor for class elki.math.geodesy.SphereUtil: Dummy constructor.
SphericalAFKMC2 - Class in elki.clustering.kmeans.initialization: Spherical K-Means++ initialization with markov chains.
SphericalAFKMC2(int, double, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.SphericalAFKMC2: Constructor.
SphericalAFKMC2.Instance - Class in elki.clustering.kmeans.initialization: Abstract instance implementing the weight handling.
SphericalAFKMC2.Par - Class in elki.clustering.kmeans.initialization: Parameterization class.
SphericalCosineEarthModel - Class in elki.math.geodesy: A simple spherical earth model using radius 6371009 m.
SphericalCosineEarthModel() - Constructor for class elki.math.geodesy.SphericalCosineEarthModel: Constructor.
SphericalCosineEarthModel.Par - Class in elki.math.geodesy: Parameterization class.
SphericalElkanKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Elkan's fast k-means by exploiting the triangle inequality.
SphericalElkanKMeans(int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.spherical.SphericalElkanKMeans: Constructor.
SphericalElkanKMeans.Instance - Class in elki.clustering.kmeans.spherical: Inner instance, storing state for a single data set.
SphericalElkanKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalGaussianModel - Class in elki.clustering.em.models: Simple spherical Gaussian cluster (scaled identity matrixes).
SphericalGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.SphericalGaussianModel: Constructor.
SphericalGaussianModel(double, double[], double) - Constructor for class elki.clustering.em.models.SphericalGaussianModel: Constructor.
SphericalGaussianModelFactory - Class in elki.clustering.em.models: Factory for EM with multivariate gaussian models using a single variance.
SphericalGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.SphericalGaussianModelFactory: Constructor.
SphericalHamerlyKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality.
SphericalHamerlyKMeans(int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans: Constructor.
SphericalHamerlyKMeans.Instance - Class in elki.clustering.kmeans.spherical: Inner instance, storing state for a single data set.
SphericalHamerlyKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalHaversineEarthModel - Class in elki.math.geodesy: A simple spherical earth model using radius 6371009 m.
SphericalHaversineEarthModel() - Constructor for class elki.math.geodesy.SphericalHaversineEarthModel: Constructor.
SphericalHaversineEarthModel.Par - Class in elki.math.geodesy: Parameterization class.
SphericalKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: The standard spherical k-means algorithm.
SphericalKMeans(int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.spherical.SphericalKMeans: Constructor.
SphericalKMeans.Instance - Class in elki.clustering.kmeans.spherical: Instance for a particular data set.
SphericalKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalKMeansPlusPlus<O> - Class in elki.clustering.kmeans.initialization: Spherical K-Means++ initialization for k-means.
SphericalKMeansPlusPlus(double, RandomFactory) - Constructor for class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus: Constructor.
SphericalKMeansPlusPlus.Instance - Class in elki.clustering.kmeans.initialization: Abstract instance implementing the weight handling.
SphericalKMeansPlusPlus.Par<V> - Class in elki.clustering.kmeans.initialization: Parameterization class.
SphericalSimplifiedElkanKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality.
SphericalSimplifiedElkanKMeans(int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans: Constructor.
SphericalSimplifiedElkanKMeans.Instance - Class in elki.clustering.kmeans.spherical: Inner instance, storing state for a single data set.
SphericalSimplifiedElkanKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalSimplifiedHamerlyKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: A spherical k-Means algorithm based on Hamerly's fast k-means by exploiting the triangle inequality.
SphericalSimplifiedHamerlyKMeans(int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans: Constructor.
SphericalSimplifiedHamerlyKMeans.Instance - Class in elki.clustering.kmeans.spherical: Inner instance, storing state for a single data set.
SphericalSimplifiedHamerlyKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalSingleAssignmentKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Pseudo-k-Means variations, that assigns each object to the nearest center.
SphericalSingleAssignmentKMeans(int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans: Constructor.
SphericalSingleAssignmentKMeans.Instance - Class in elki.clustering.kmeans.spherical: Instance for a particular data set.
SphericalSingleAssignmentKMeans.Par<V extends NumberVector> - Class in elki.clustering.kmeans.spherical: Parameterization class.
SphericalVincentyEarthModel - Class in elki.math.geodesy: A simple spherical earth model using radius 6371009 m.
SphericalVincentyEarthModel() - Constructor for class elki.math.geodesy.SphericalVincentyEarthModel: Constructor.
SphericalVincentyEarthModel.Par - Class in elki.math.geodesy: Parameterization class.
sphericalVincentyFormulaDeg(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil: Compute the approximate great-circle distance of two points.
sphericalVincentyFormulaRad(double, double, double, double) - Static method in class elki.math.geodesy.SphereUtil: Compute the approximate great-circle distance of two points.
spinnerHeight - Variable in class elki.visualization.savedialog.SaveOptionsPanel
spinnerQual - Variable in class elki.visualization.savedialog.SaveOptionsPanel
spinnerWidth - Variable in class elki.visualization.savedialog.SaveOptionsPanel
split - Variable in class elki.clustering.correlation.cash.CASHInterval: The object to perform interval splitting.
split - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.Par: Splitting strategy.
split - Variable in class elki.clustering.kmeans.KDTreePruningKMeans: Splitting strategy.
split - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par: Split stragegy
split - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory: Split stragegy
split - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDNode: Splitting threshold
split - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: Split stragegy
split - Variable in class elki.outlier.density.IsolationForest.Node: Split value
split() - Method in class elki.clustering.correlation.cash.CASHInterval: Splits this interval into 2 children.
split(double[], int, int, boolean) - Method in class elki.math.linearalgebra.SingularValueDecomposition
split(A, ArrayAdapter<E, A>, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit
split(A, ArrayAdapter<E, A>, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit
split(A, ArrayAdapter<E, A>, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit
split(A, ArrayAdapter<E, A>, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit
split(A, ArrayAdapter<E, A>, int) - Method in interface elki.index.tree.spatial.rstarvariants.strategies.split.SplitStrategy: Split a page
split(A, ArrayAdapter<E, A>, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter
split(CFTree.TreeNode, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CFTree: Split an overfull node.
split(CFNode<L>, AsClusterFeature) - Method in class elki.index.tree.betula.CFTree: Split an overfull node.
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.FarthestPointsSplit
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.MLBDistSplit: Selects the second object of the specified node to be promoted and stored into the parent node and partitions the entries according to the M_LB_DIST strategy.
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.MMRadSplit: Selects two objects of the specified node to be promoted and stored into the parent node.
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.MRadSplit: Selects two objects of the specified node to be promoted and stored into the parent node.
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit
split(AbstractMTree<?, N, E, ?>, N) - Method in interface elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit: Returns the assignments of this split.
split(AbstractMTree<?, N, E, ?>, N) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit: Selects two objects of the specified node to be promoted and stored into the parent node.
split(OutlierResult) - Method in class elki.evaluation.outlier.OutlierThresholdClustering
split(N) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Splits the specified node and returns the newly created split node.
Split() - Constructor for enum elki.clustering.kmeans.KDTreePruningKMeans.Split
Split(A, ArrayAdapter<E, A>) - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Constructor.
SPLIT - Static variable in class elki.utilities.optionhandling.parameters.ListParameter: A pattern defining a ",".
SPLIT_ID - Static variable in class elki.clustering.kmeans.KDTreePruningKMeans.Par: Option ID for the splitting strategy.
SPLIT_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par: Option ID for threshold heuristic.
SPLIT_P - Static variable in class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par: Option for setting the maximum leaf size.
SPLIT_STRATEGY_ID - Static variable in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par: Parameter to specify the splitting strategy to construct the tree.
splitAtLastBlank(String, int) - Static method in class elki.utilities.io.FormatUtil: Splits the specified string at the last blank before width.
splitByDistance(ArrayModifiableDBIDs, int, int, DoubleDataStore, Random) - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Split the data set by distances.
splitByMask(AbstractNode<E>, long[]) - Method in class elki.index.tree.AbstractNode: Splits the entries of this node into a new node using the given assignments
splitCentroid(Cluster<? extends MeanModel>, Relation<V>) - Method in class elki.clustering.kmeans.GMeans
splitCentroid(Cluster<? extends MeanModel>, Relation<V>) - Method in class elki.clustering.kmeans.XMeans: Split an existing centroid into two initial centers.
splitCluster(Cluster<M>, Relation<V>) - Method in class elki.clustering.kmeans.GMeans
splitCluster(Cluster<M>, Relation<V>) - Method in class elki.clustering.kmeans.XMeans: Conditionally splits the clusters based on the information criterion.
splitCol(int, double) - Method in class elki.visualization.gui.overview.RectangleArranger
splitfreq - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: Flag to make split frequencies
splitfreq - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram: Flag to make split frequencies
SPLITFREQ_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: Flag to count frequencies of outliers and non-outliers separately
splitInitializer - Variable in class elki.clustering.kmeans.XMeans: Initializer for k-means.
SplitNumberVectorFilter<V extends NumberVector> - Class in elki.datasource.filter.typeconversions: Split an existing column into two types.
SplitNumberVectorFilter(int[]) - Constructor for class elki.datasource.filter.typeconversions.SplitNumberVectorFilter: Constructor.
SplitNumberVectorFilter.Par<V extends NumberVector> - Class in elki.datasource.filter.typeconversions: Parameterization class.
SplitOnlyOverflowTreatment - Class in elki.index.tree.spatial.rstarvariants.strategies.overflow: Always split, as in the original R-Tree
SplitOnlyOverflowTreatment() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment: Constructor
SplitOnlyOverflowTreatment.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.overflow: Parameterization class.
splitPartitions - Variable in class elki.index.vafile.PartialVAFile: Splitting grid.
splitPoint - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: The index of the split point.
splitPositions - Variable in class elki.index.vafile.DAFile: Splitting grid.
splitPositions - Variable in class elki.index.vafile.VAFile: Quantile grid we use.
splitRandomly(ArrayModifiableDBIDs, int, int, DoubleDataStore, Random) - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Split the data set randomly.
splitRecursively(double[][], int, int, int, int, double[], ArrayList<double[]>, ArrayList<BarnesHutTSNE.QuadTree>) - Static method in class elki.projection.BarnesHutTSNE.QuadTree: Build the quadtree by recursive splitting.
splitRow(int, double) - Method in class elki.visualization.gui.overview.RectangleArranger
splitsets - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: sets that resulted from recursive split of entire point set
splitStrategy - Variable in class elki.index.tree.metrical.mtreevariants.MTreeSettings: Splitting strategy.
SplitStrategy - Interface in elki.index.tree.spatial.kd.split: Split strategy for full k-d-tree construction.
SplitStrategy - Interface in elki.index.tree.spatial.rstarvariants.strategies.split: Generic interface for split strategies.
SplitStrategy.Info - Class in elki.index.tree.spatial.kd.split: Split information.
SplitStrategy.Util - Class in elki.index.tree.spatial.kd.split: Utility functions.
splitTo(AbstractNode<E>, List<E>, int) - Method in class elki.index.tree.AbstractNode: Redistribute entries according to the given sorting.
splitTo(AbstractNode<E>, List<E>, List<E>) - Method in class elki.index.tree.AbstractNode: Splits the entries of this node into a new node using the given assignments
splitupNoSort(ArrayModifiableDBIDs, int, int, int, Random) - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Recursively splits entire point set until the set is below a threshold
sqabsorption(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.CFTree: Updates statistics and calculates distance between a Number Vector and a Cluster Feature based on selected criteria.
sqabsorption(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.CFTree: Updates statistics and calculates distance between two Cluster Features based on selected criteria.
sqDist(double[], double[]) - Method in class elki.projection.SNE: Squared distance, in projection space.
sqDist(double[], double[]) - Method in class elki.projection.TSNE: Squared distance, in projection space.
sqdistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.CFTree: Updates statistics and calculates distance between a Number Vector and a Cluster Feature based on selected criteria.
sqdistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.CFTree: Updates statistics and calculates distance between two Cluster Features based on selected criteria.
SQEUCLIDEAN - elki.application.greedyensemble.GreedyEnsembleExperiment.Distance
SQRT2 - Static variable in class elki.math.MathUtil: Square root of 2.
SQRT3 - Static variable in class elki.math.MathUtil: Square root of 3.
SQRT5 - Static variable in class elki.math.MathUtil: Square root of 5.
SQRT8_3 - Static variable in class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator: Scaling constant.
SqrtCosineDistance - Class in elki.distance: Cosine distance function for feature vectors using the square root.
SqrtCosineDistance() - Constructor for class elki.distance.SqrtCosineDistance: Deprecated.
Use static instance
SqrtCosineDistance.Par - Class in elki.distance: Parameterization class.
SqrtCosineUnitlengthDistance - Class in elki.distance: Cosine distance function for unit length feature vectors using the square root.
SqrtCosineUnitlengthDistance() - Constructor for class elki.distance.SqrtCosineUnitlengthDistance: Deprecated.
Use static instance
SqrtCosineUnitlengthDistance.Par - Class in elki.distance: Parameterization class.
sqrtdistance(double[], double[]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the distance (and count the distance computations).
sqrtdistance(NumberVector, double[]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the distance (and count the distance computations).
sqrtdistance(NumberVector, double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
sqrtdistance(NumberVector, NumberVector) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the distance (and count the distance computations).
sqrtdistance(NumberVector, NumberVector) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
SQRTHALF - Static variable in class elki.math.MathUtil: Square root of 0.5 == 1 / sqrt(2).
SQRTHALFPI - Static variable in class elki.math.MathUtil: Constant for sqrt(pi/2)
SqrtJensenShannonDivergenceDistance - Class in elki.distance.probabilistic: The square root of Jensen-Shannon divergence is a metric.
SqrtJensenShannonDivergenceDistance() - Constructor for class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance: Deprecated.
Use static instance!
SqrtJensenShannonDivergenceDistance.Par - Class in elki.distance.probabilistic: Parameterization class, using the static instance.
SQRTPI - Static variable in class elki.math.MathUtil: Square root of Pi.
SqrtStandardDeviationScaling - Class in elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a probability in the range of [0:1].
SqrtStandardDeviationScaling(double, double, double) - Constructor for class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Constructor.
SqrtStandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier: Parameterization class.
SQRTTHIRD - Static variable in class elki.math.MathUtil: Square root of one third.
SQRTTWOPI - Static variable in class elki.math.MathUtil: Square root of two times Pi.
sqtheta - Variable in class elki.projection.BarnesHutTSNE: (Squared) approximation quality threshold.
SQUARED - Static variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Squared distance
SQUARED - Static variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: Squared Euclidean distance function.
SQUARED - Static variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeKNNQuery: Squared Euclidean distance function.
SQUARED - Static variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeRangeQuery: Squared euclidean distance function.
squaredCriterion(ClusteringFeature, ClusteringFeature) - Method in interface elki.clustering.hierarchical.birch.BIRCHAbsorptionCriterion: Quality when merging two CFs.
squaredCriterion(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.DiameterCriterion
squaredCriterion(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.EuclideanDistanceCriterion
squaredCriterion(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.RadiusCriterion
squaredCriterion(ClusteringFeature, NumberVector) - Method in interface elki.clustering.hierarchical.birch.BIRCHAbsorptionCriterion: Quality of a CF when adding a data point
squaredCriterion(ClusteringFeature, NumberVector) - Method in class elki.clustering.hierarchical.birch.DiameterCriterion
squaredCriterion(ClusteringFeature, NumberVector) - Method in class elki.clustering.hierarchical.birch.EuclideanDistanceCriterion
squaredCriterion(ClusteringFeature, NumberVector) - Method in class elki.clustering.hierarchical.birch.RadiusCriterion
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.AverageInterclusterDistance
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.AverageIntraclusterDistance
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in interface elki.clustering.hierarchical.birch.BIRCHDistance: Distance between two clustering features.
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CentroidEuclideanDistance
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CentroidManhattanDistance
squaredDistance(ClusteringFeature, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.VarianceIncreaseDistance
squaredDistance(NumberVector) - Method in class elki.data.model.CorrelationAnalysisSolution: Returns the distance of NumberVector p from the hyperplane underlying this solution.
squaredDistance(NumberVector, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.AverageInterclusterDistance
squaredDistance(NumberVector, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.AverageIntraclusterDistance
squaredDistance(NumberVector, ClusteringFeature) - Method in interface elki.clustering.hierarchical.birch.BIRCHDistance: Distance of a vector to a clustering feature.
squaredDistance(NumberVector, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CentroidEuclideanDistance
squaredDistance(NumberVector, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.CentroidManhattanDistance
squaredDistance(NumberVector, ClusteringFeature) - Method in class elki.clustering.hierarchical.birch.VarianceIncreaseDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.AverageInterclusterDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.AverageIntraclusterDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHRadiusDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.CentroidEuclideanDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.CentroidManhattanDistance
squaredDistance(NumberVector, ClusterFeature) - Method in interface elki.index.tree.betula.distance.CFDistance: Distance of a vector to a clustering feature.
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.RadiusDistance
squaredDistance(NumberVector, ClusterFeature) - Method in class elki.index.tree.betula.distance.VarianceIncreaseDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.AverageInterclusterDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.AverageIntraclusterDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHRadiusDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.CentroidEuclideanDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.CentroidManhattanDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in interface elki.index.tree.betula.distance.CFDistance: Distance between two clustering features.
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.RadiusDistance
squaredDistance(ClusterFeature, ClusterFeature) - Method in class elki.index.tree.betula.distance.VarianceIncreaseDistance
squaredDistanceFromCamera(double, double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Distance from camera
squaredDistanceFromCamera(double, double, double) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Distance from camera
SquaredErrors - Class in elki.evaluation.clustering.internal: Evaluate a clustering by reporting the squared errors (SSE, SSQ), as used by k-means.
SquaredErrors(NumberVectorDistance<?>, NoiseHandling) - Constructor for class elki.evaluation.clustering.internal.SquaredErrors: Constructor.
SquaredErrors.Par - Class in elki.evaluation.clustering.internal: Parameterization class.
SquaredEuclideanDistance - Class in elki.distance.minkowski: Squared Euclidean distance, optimized for SparseNumberVectors.
SquaredEuclideanDistance() - Constructor for class elki.distance.minkowski.SquaredEuclideanDistance: Deprecated.
Use static instance!
SquaredEuclideanDistance.Par - Class in elki.distance.minkowski: Parameterization class.
SquaredEuclideanWeight - Class in elki.clustering.kmeans.initialization.betula: Use the squared Euclidean distance only for distance measurement.
SquaredEuclideanWeight() - Constructor for class elki.clustering.kmeans.initialization.betula.SquaredEuclideanWeight
SquaredPearsonCorrelationDistance - Class in elki.distance.correlation: Squared Pearson correlation distance function for feature vectors.
SquaredPearsonCorrelationDistance() - Constructor for class elki.distance.correlation.SquaredPearsonCorrelationDistance: Deprecated.
use static instance!
SquaredPearsonCorrelationDistance.Par - Class in elki.distance.correlation: Parameterization class.
SquaredUncenteredCorrelationDistance - Class in elki.distance.correlation: Squared uncentered correlation distance function for feature vectors.
SquaredUncenteredCorrelationDistance() - Constructor for class elki.distance.correlation.SquaredUncenteredCorrelationDistance: Deprecated.
Use static instance!
SquaredUncenteredCorrelationDistance.Par - Class in elki.distance.correlation: Parameterization class.
squaredWeight(ClusterFeature, ClusterFeature) - Method in interface elki.clustering.kmeans.initialization.betula.CFInitWeight: Distance between two clustering features.
squaredWeight(ClusterFeature, ClusterFeature) - Method in class elki.clustering.kmeans.initialization.betula.InterclusterWeight
squaredWeight(ClusterFeature, ClusterFeature) - Method in class elki.clustering.kmeans.initialization.betula.SquaredEuclideanWeight
squaredWeight(ClusterFeature, ClusterFeature) - Method in class elki.clustering.kmeans.initialization.betula.VarianceWeight
squareSize - Variable in class elki.projection.BarnesHutTSNE.QuadTree: Square size of this node, for Barnes-Hut approximation.
squareSum(double[]) - Static method in class elki.math.linearalgebra.VMath: Squared Euclidean length of the vector v1^T v1 = v1·v1.
ss - Variable in class elki.clustering.hierarchical.birch.ClusteringFeature: Sum of squares (see original thesis, this is a scalar).
ss - Variable in class elki.index.tree.betula.features.BIRCHCF: Sum of squares (see original thesis, this is a scalar).
ssd - Variable in class elki.index.tree.betula.features.VIIFeature: Sum of Squared Deviations.
ssd - Variable in class elki.index.tree.betula.features.VVIFeature: Sum of Squared Deviations.
ssd - Variable in class elki.index.tree.betula.features.VVVFeature: Sum of Squared Deviations.
SSQ - elki.clustering.kmeans.KDTreePruningKMeans.Split: Split to minimize the sum-of-squares of the partitions.
ssqerr(int, int, double[], double[], double, double) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
ssr - Variable in class elki.math.statistics.MultipleLinearRegression: The sum of square residuals
sst - Variable in class elki.math.statistics.MultipleLinearRegression: The sum of square totals
StackedIter<B,A extends B> - Class in elki.utilities.datastructures.hierarchy: Filtered iterator.
StackedIter(It<? extends A>, Hierarchy<B>) - Constructor for class elki.utilities.datastructures.hierarchy.StackedIter: Constructor.
StandardCovarianceMatrixBuilder - Class in elki.math.linearalgebra.pca: Class for building a "traditional" covariance matrix via CovarianceMatrix.
StandardCovarianceMatrixBuilder() - Constructor for class elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder
standardDeviation - Variable in class elki.data.model.CorrelationAnalysisSolution: The standard deviation within this solution.
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction
standardDeviation() - Method in interface elki.math.statistics.kernelfunctions.KernelDensityFunction: Get the standard deviation of the kernel function.
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction
standardDeviation() - Method in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
StandardDeviationScaling - Class in elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a probability in the range of [0:1].
StandardDeviationScaling() - Constructor for class elki.utilities.scaling.outlier.StandardDeviationScaling: Constructor.
StandardDeviationScaling(double, double) - Constructor for class elki.utilities.scaling.outlier.StandardDeviationScaling: Constructor.
StandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier: Parameterization class.
StandardizedTwoSampleAndersonDarlingTest - Class in elki.math.statistics.tests: Perform a two-sample Anderson-Darling rank test, and standardize the statistic according to Scholz and Stephens.
StandardizedTwoSampleAndersonDarlingTest() - Constructor for class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
standardNormalCDF(double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Cumulative probability density function (CDF) of a normal distribution.
standardNormalLogPDF(double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Log probability density function of the standard normal distribution.
standardNormalPDF(double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Probability density function of the standard normal distribution.
standardNormalQuantile(double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Approximate the inverse error function for normal distributions.
StarBasedReferencePoints - Class in elki.utilities.referencepoints: Star-based strategy to pick reference points.
StarBasedReferencePoints(boolean, double) - Constructor for class elki.utilities.referencepoints.StarBasedReferencePoints: Constructor.
StarBasedReferencePoints.Par - Class in elki.utilities.referencepoints: Parameterization class.
start - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode: First index of child nodes.
start - Variable in class elki.database.ids.integer.IntegerDBIDRange.Itr: Interval start.
start - Variable in class elki.database.ids.integer.IntegerDBIDRange: Start value.
start - Variable in class elki.datasource.DBIDRangeDatabaseConnection.Par: Begin of interval
start - Variable in class elki.datasource.DBIDRangeDatabaseConnection: Begin of interval
start - Variable in class elki.parallel.ParallelExecutor.BlockArrayRunner: Start position
start - Variable in class elki.utilities.datastructures.range.ExponentialIntGenerator: Start value.
start - Variable in class elki.utilities.datastructures.range.LinearIntGenerator: Start value.
start - Variable in class elki.utilities.io.Tokenizer: Current positions of result and iterator.
START_ID - Static variable in class elki.datasource.DBIDRangeDatabaseConnection.Par: Parameter for starting ID to generate
START_TRACE_AT - Static variable in class elki.logging.ELKILogRecord: Name of this class.
startangle - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter: Starting angle for dragging.
startcamera - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter: Camera that was in use when the drag started.
startDrag(SVGPoint, Event) - Method in interface elki.visualization.batikutil.DragableArea.DragListener: Action to do on drag start.
startDrag(SVGPoint, Event) - Method in class elki.visualization.batikutil.DragableArea: Action to do on drag start.
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
startDrag(SVGPoint, Event) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
startDragPoint - Variable in class elki.visualization.batikutil.DragableArea: The point where the drag started.
startid - Variable in class elki.datasource.ArrayAdapterDatabaseConnection: Starting ID for fixed object ids.
startid - Variable in class elki.datasource.filter.FixedDBIDsFilter.Par: First ID to use.
startindex - Variable in class elki.clustering.optics.OPTICSXi.SteepArea: Start index of steep area
startIndex - Variable in class elki.data.model.OPTICSModel: Start index
startk - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Benchmark parameters.
startk - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators: Benchmark parameters.
STARTK_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Initial neighborhood size.
startLayoutThread() - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
startReducedProblem(double[][], double[], double, double[], double[], ConstrainedQuadraticProblemSolver.DimensionState[], int, ConstrainedQuadraticProblemSolver.DimensionState, double[], double) - Method in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver: This function reduces the quadratic problem (given with a,b,c, bounds and dimState) with the information given in reducedDim and reducedTo.
startTask() - Method in class elki.gui.minigui.MiniGUI: Do a full run of the KDDTask with the specified parameters.
startvec - Variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter: Starting point of drag.
STAT - Variable in class elki.itemsetmining.APRIORI: Statistics logging prefix.
STAT - Static variable in class elki.itemsetmining.Eclat: Prefix for statistics.
STAT - Static variable in class elki.itemsetmining.FPGrowth: Prefix for statistics.
state - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Current state.
State() - Constructor for enum elki.application.internal.CheckParameterizables.State
State() - Constructor for enum elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.State
stateChanged(ChangeEvent) - Method in class elki.gui.configurator.ClassListParameterConfigurator
stateChanged(ChangeEvent) - Method in class elki.gui.configurator.ClassParameterConfigurator
stateChanged(ChangeEvent) - Method in class elki.gui.configurator.ConfiguratorPanel
stateChanged(ChangeEvent) - Method in class elki.gui.multistep.panels.ParameterTabPanel
statements - Variable in class elki.visualization.css.CSSClass: Actual CSS statements
STATIC - Static variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance.KNNEvaluator: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.AverageInterclusterDistance: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.AverageIntraclusterDistance: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.CentroidEuclideanDistance: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.CentroidManhattanDistance: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.DiameterCriterion: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.EuclideanDistanceCriterion: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.RadiusCriterion: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.birch.VarianceIncreaseDistance: Static instance.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.CentroidLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.CompleteLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.GroupAverageLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.MedianLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.SingleLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.WardLinkage: Static instance of class.
STATIC - Static variable in class elki.clustering.hierarchical.linkage.WeightedAverageLinkage: Static instance of class.
STATIC - Static variable in class elki.data.ByteVector: Static instance (object factory).
STATIC - Static variable in class elki.data.IntegerVector: Static instance (object factory).
STATIC - Static variable in class elki.data.OneDimensionalDoubleVector: Static factory instance.
STATIC - Static variable in class elki.data.ShortVector: Static instance (object factory).
STATIC - Static variable in class elki.data.type.TypeInformationSerializer: Static instance.
STATIC - Static variable in class elki.database.query.DisableQueryOptimizer: Public static instance.
STATIC - Static variable in class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization: Static instance.
STATIC - Static variable in class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization: Static instance.
STATIC - Static variable in class elki.distance.ArcCosineDistance: Static instance
STATIC - Static variable in class elki.distance.ArcCosineUnitlengthDistance: Static instance
STATIC - Static variable in class elki.distance.CanberraDistance: Static instance.
STATIC - Static variable in class elki.distance.ClarkDistance: Static instance.
STATIC - Static variable in class elki.distance.colorhistogram.HistogramIntersectionDistance: Static instance
STATIC - Static variable in class elki.distance.correlation.AbsolutePearsonCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.correlation.PearsonCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.correlation.SquaredPearsonCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.correlation.SquaredUncenteredCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.correlation.UncenteredCorrelationDistance: Static instance.
STATIC - Static variable in class elki.distance.CosineDistance: Static instance
STATIC - Static variable in class elki.distance.CosineUnitlengthDistance: Static instance
STATIC - Static variable in class elki.distance.histogram.HistogramMatchDistance: Static instance.
STATIC - Static variable in class elki.distance.histogram.KolmogorovSmirnovDistance: Static instance.
STATIC - Static variable in class elki.distance.minkowski.EuclideanDistance: Static instance.
STATIC - Static variable in class elki.distance.minkowski.ManhattanDistance: The static instance to use.
STATIC - Static variable in class elki.distance.minkowski.MaximumDistance: Static instance.
STATIC - Static variable in class elki.distance.minkowski.MinimumDistance: Static instance.
STATIC - Static variable in class elki.distance.minkowski.SparseEuclideanDistance: Static instance
STATIC - Static variable in class elki.distance.minkowski.SparseManhattanDistance: Static instance
STATIC - Static variable in class elki.distance.minkowski.SparseMaximumDistance: Static instance
STATIC - Static variable in class elki.distance.minkowski.SparseSquaredEuclideanDistance: Static instance
STATIC - Static variable in class elki.distance.minkowski.SquaredEuclideanDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.ChiDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.ChiSquaredDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.FisherRaoDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.HellingerDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.JeffreyDivergenceDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.JensenShannonDivergenceDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.TriangularDiscriminationDistance: Static instance.
STATIC - Static variable in class elki.distance.probabilistic.TriangularDistance: Static instance.
STATIC - Static variable in class elki.distance.RandomStableDistance: Static instance
STATIC - Static variable in class elki.distance.set.HammingDistance: Static instance.
STATIC - Static variable in class elki.distance.SqrtCosineDistance: Static instance
STATIC - Static variable in class elki.distance.SqrtCosineUnitlengthDistance: Static instance
STATIC - Static variable in class elki.evaluation.scores.AUPRCEvaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.AveragePrecisionEvaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.DCGEvaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.MaximumF1Evaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.NDCGEvaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.PRGCEvaluation: Static instance
STATIC - Static variable in class elki.evaluation.scores.ROCEvaluation: Static instance
STATIC - Static variable in class elki.index.tree.betula.distance.AverageInterclusterDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.AverageIntraclusterDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.BIRCHRadiusDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.CentroidEuclideanDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.CentroidManhattanDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.RadiusDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.distance.VarianceIncreaseDistance: Static instance.
STATIC - Static variable in class elki.index.tree.betula.features.BIRCHCF.Factory: Static instance.
STATIC - Static variable in class elki.index.tree.betula.features.VIIFeature.Factory: Static instance.
STATIC - Static variable in class elki.index.tree.betula.features.VVIFeature.Factory: Static instance.
STATIC - Static variable in class elki.index.tree.betula.features.VVVFeature.Factory: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.PartialEuclideanDistance: Static instance
STATIC - Static variable in class elki.index.tree.spatial.kd.PartialManhattanDistance: Static instance
STATIC - Static variable in class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance: Static instance
STATIC - Static variable in class elki.index.tree.spatial.kd.split.BoundedMidpointSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.LeastSSQSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.MeanVarianceSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.MedianSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.MedianVarianceSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.kd.split.MidpointSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit: Static instance
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit: Static instance
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment: Static instance
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter: Static instance.
STATIC - Static variable in class elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter: Static adapter.
STATIC - Static variable in class elki.math.geodesy.Clarke1858SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.geodesy.Clarke1880SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.geodesy.GRS67SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.geodesy.GRS80SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.geodesy.SphericalCosineEarthModel: Spherical earth model, static instance.
STATIC - Static variable in class elki.math.geodesy.SphericalHaversineEarthModel: Spherical earth model, static instance.
STATIC - Static variable in class elki.math.geodesy.SphericalVincentyEarthModel: Spherical earth model, static instance.
STATIC - Static variable in class elki.math.geodesy.WGS72SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.geodesy.WGS84SpheroidEarthModel: Static instance.
STATIC - Static variable in class elki.math.linearalgebra.fitting.GaussianFittingFunction: Static instance
STATIC - Static variable in class elki.math.spacefillingcurves.BinarySplitSpatialSorter: Static instance.
STATIC - Static variable in class elki.math.spacefillingcurves.HilbertSpatialSorter: Static instance.
STATIC - Static variable in class elki.math.spacefillingcurves.PeanoSpatialSorter: Static instance.
STATIC - Static variable in class elki.math.spacefillingcurves.ZCurveSpatialSorter: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.DCor: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.HoeffdingsD: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.HoughSpaceMeasure: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.JensenShannonEquiwidthDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.MaximumConditionalEntropy: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.mcde.MWPTest: Static Constructor - use this one
STATIC - Static variable in class elki.math.statistics.dependence.MutualInformationEquiwidthDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.PearsonCorrelationDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.SlopeDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.SlopeInversionDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.SpearmanCorrelationDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.dependence.SURFINGDependence: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.CauchyMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator: Static estimator class.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.ExpGammaExpMOMEstimator: Static estimation using just the mean and variance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.ExponentialLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.ExponentialMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.ExponentialMedianEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.ExponentialMOMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator: Static estimation, using iterative refinement.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GammaLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GammaMOMEstimator: Static estimation using just the mean and variance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GumbelLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.GumbelMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LaplaceLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LaplaceMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LaplaceMLEEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator: Static estimation using just the mean and variance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogisticLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogisticMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogLogisticMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator: Static estimator for small sample sizes and partial data.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator: Static estimator, more robust to outliers by using the median.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator: Static estimator, using mean and variance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator: Static estimator for small sample sizes and partial data.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.NormalLMMEstimator: Static instance
STATIC - Static variable in class elki.math.statistics.distribution.estimator.NormalMADEstimator: Static estimator, more robust to outliers by using the median.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.NormalMOMEstimator: Static estimator, using mean and variance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.RayleighLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.RayleighMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.RayleighMLEEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator: Slightly more refined estimator: takes sample size into account.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.UniformLMMEstimator: Static instance
STATIC - Static variable in class elki.math.statistics.distribution.estimator.UniformMADEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.UniformMinMaxEstimator: The most naive estimator possible: uses minimum and maximum.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.distribution.estimator.WeibullLogMADEstimator: The more robust median based estimator.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.ABIDEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.ALIDEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.EnsembleEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.GEDEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.HillEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.LMomentsEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.MOMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.PWM2Estimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.PWMEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.RABIDEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.RVEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.TightLIDEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.intrinsicdimensionality.ZipfEstimator: Static instance.
STATIC - Static variable in class elki.math.statistics.tests.KolmogorovSmirnovTest: Static instance
STATIC - Static variable in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest: Static instance.
STATIC - Static variable in class elki.math.statistics.tests.WelchTTest: Static instance.
STATIC - Static variable in class elki.parallel.ParallelCore: Static core
STATIC - Static variable in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity: Static instance.
STATIC - Static variable in class elki.similarity.cluster.ClusteringBCubedF1Similarity: Static instance.
STATIC - Static variable in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity: Static instance.
STATIC - Static variable in class elki.similarity.cluster.ClusteringRandIndexSimilarity: Static instance.
STATIC - Static variable in class elki.similarity.cluster.ClusterIntersectionSimilarity: Static instance.
STATIC - Static variable in class elki.similarity.cluster.ClusterJaccardSimilarity: Static instance.
STATIC - Static variable in class elki.similarity.kernel.LinearKernel: Static instance.
STATIC - Static variable in class elki.similarity.Kulczynski1Similarity: Static instance.
STATIC - Static variable in class elki.utilities.datastructures.arraylike.DoubleArrayAdapter: Static instance.
STATIC - Static variable in class elki.utilities.datastructures.arraylike.FeatureVectorAdapter: Static instance.
STATIC - Static variable in class elki.utilities.datastructures.arraylike.FloatArrayAdapter: Static instance.
STATIC - Static variable in class elki.utilities.datastructures.arraylike.NumberVectorAdapter: Static adapter class.
STATIC - Static variable in class elki.utilities.datastructures.iterator.EmptyIterator: Static instance.
STATIC - Static variable in class elki.utilities.ensemble.EnsembleVotingInverseMultiplicative: Static instance.
STATIC - Static variable in class elki.utilities.ensemble.EnsembleVotingMultiplicative: Static instance.
STATIC_CONTINUOUS - Static variable in class elki.distance.BrayCurtisDistance: Static instance.
STATIC_CONTINUOUS - Static variable in class elki.similarity.Kulczynski2Similarity: Static instance.
STATIC_SENSITIVE - Static variable in class elki.distance.strings.LevenshteinDistance: Static instance, case sensitive.
STATIC_SENSITIVE - Static variable in class elki.distance.strings.NormalizedLevenshteinDistance: Static instance, case sensitive.
STATIC_SERIALIZER - Static variable in class elki.database.ids.integer.IntegerDBID: The public instance to use for static serialization.
StaticArrayDatabase - Class in elki.database: This database class uses array-based storage and thus does not allow for dynamic insert, delete and update operations.
StaticArrayDatabase(DatabaseConnection) - Constructor for class elki.database.StaticArrayDatabase: Constructor with no indexes.
StaticArrayDatabase(DatabaseConnection, Collection<? extends IndexFactory<?>>) - Constructor for class elki.database.StaticArrayDatabase: Constructor.
StaticArrayDatabase.Par - Class in elki.database: Parameterization class.
StaticDBIDs - Interface in elki.database.ids: Unmodifiable DBIDs.
StaticIntGenerator - Class in elki.utilities.datastructures.range: Generate a static set of integers.
StaticIntGenerator(int...) - Constructor for class elki.utilities.datastructures.range.StaticIntGenerator: Constructor.
StaticScalingFunction - Interface in elki.utilities.scaling: Interface for Scaling functions that do NOT depend on analyzing the data set.
StaticSerializer() - Constructor for class elki.database.ids.integer.IntegerDBID.StaticSerializer: Constructor.
StaticVisualizationInstance - Class in elki.visualization.visualizers: Static visualization
StaticVisualizationInstance(VisualizerContext, VisualizationTask, VisualizationPlot, double, double, Element) - Constructor for class elki.visualization.visualizers.StaticVisualizationInstance: Unchanging precomputed visualization.
Statistic - Interface in elki.logging.statistics: Abstract base interface for statistics tracking.
StatisticalMoments - Class in elki.math: Track various statistical moments, including mean, variance, skewness and kurtosis.
StatisticalMoments() - Constructor for class elki.math.StatisticalMoments: Empty constructor
StatisticalMoments(StatisticalMoments) - Constructor for class elki.math.StatisticalMoments: Constructor from other instance
statisticalTest(int, int, boolean[], MWPTest.MWPRanking) - Method in class elki.math.statistics.dependence.mcde.MWPTest: Efficient implementation of MWP statistical test using appropriate index structure as described in Algorithm 3 of reference paper.
statisticalTest(int, int, boolean[], R) - Method in interface elki.math.statistics.dependence.mcde.MCDETest: Subclass must implement the computation of the statistical test, based on the slicing scheme of MCDEDependence.
statistics - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTree: For counting the number of distance computations.
statistics - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: For counting the number of distance computations.
statistics(Statistic) - Method in class elki.logging.Logging: Log a statistics object.
statistics(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'STATISTICS' level.
statistics(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'STATISTICS' level.
Statistics() - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: Constructor.
Statistics() - Constructor for class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: Constructor.
Statistics(String) - Constructor for class elki.index.vafile.PartialVAFile.Statistics
STATISTICS - Static variable in class elki.logging.Logging.Level: Additional level for logging: statistics and timing information.
stats - Variable in class elki.index.vafile.PartialVAFile: Statistics.
statTest - Variable in class elki.math.statistics.dependence.HiCSDependence.Par: Statistical test to use
statTest - Variable in class elki.math.statistics.dependence.HiCSDependence: Statistical test to use
statTest - Variable in class elki.outlier.meta.HiCS: Statistical test to use.
Status() - Constructor for enum elki.gui.multistep.panels.ParameterTabPanel.Status
STATUS_COMPLETE - elki.gui.multistep.panels.ParameterTabPanel.Status: Status to signal the step has been run completely.
STATUS_CONFIGURED - elki.gui.multistep.panels.ParameterTabPanel.Status: Status to signal the step has been configured properly.
STATUS_FAILED - elki.gui.multistep.panels.ParameterTabPanel.Status: Status to signal the step has failed somehow
STATUS_READY - elki.gui.multistep.panels.ParameterTabPanel.Status: Status to signal the step is ready to run
STATUS_UNCONFIGURED - elki.gui.multistep.panels.ParameterTabPanel.Status: Status to signal the step has been configured properly.
statusText - Variable in class elki.gui.multistep.panels.ParameterTabPanel: The status text field
stddev - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par: Stores the standard deviation in each dimension.
stddev - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization: Stores the standard deviation in each dimension.
stddev - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par: Parameters.
stddev - Variable in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Standard deviation
stddev - Variable in class elki.math.statistics.distribution.NormalDistribution: Standard deviation
stddev - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling: Standard deviation
STDDEV - elki.datasource.filter.transform.PerturbationFilter.ScalingReference
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction: Standard deviation.
STDDEV - Static variable in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction: Standard deviation.
STDDEV_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par: Parameter for stddevs.
SteepArea(int, int, double) - Constructor for class elki.clustering.optics.OPTICSXi.SteepArea: Constructor.
SteepAreaResult(Collection<OPTICSXi.SteepArea>) - Constructor for class elki.clustering.optics.OPTICSXi.SteepAreaResult: Constructor.
steepDown(double) - Method in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Test for a steep down area.
SteepDownArea(int, int, double, double) - Constructor for class elki.clustering.optics.OPTICSXi.SteepDownArea: Constructor
SteepScanPosition(ClusterOrder) - Constructor for class elki.clustering.optics.OPTICSXi.SteepScanPosition: Constructor.
steepUp(double) - Method in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Test for a steep up point.
SteepUpArea(int, int, double) - Constructor for class elki.clustering.optics.OPTICSXi.SteepUpArea: Constructor
step - Variable in class elki.utilities.datastructures.range.LinearIntGenerator: Step size.
step2(DBIDRef, DBIDArrayIter, int, DistanceQuery<? super O>, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINK: Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
step2(DBIDRef, DBIDs, DistanceQuery<? super O>, DoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
step2primitive(DBIDRef, DBIDArrayIter, int, Relation<? extends O>, PrimitiveDistance<? super O>, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINK: Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
step3(DBIDRef, WritableDBIDDataStore, WritableDoubleDataStore, DBIDs, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Third step: Determine the values for P and L
step4(DBIDRef, WritableDBIDDataStore, WritableDoubleDataStore, DBIDs) - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory: Fourth step: Actualize the clusters if necessary
StepProgress - Class in elki.logging.progress: This progress class is used for multi-step processing.
StepProgress(int) - Constructor for class elki.logging.progress.StepProgress: Constructor.
StepProgress(String, int) - Constructor for class elki.logging.progress.StepProgress: Constructor.
stepresult - Variable in class elki.workflow.AlgorithmStep: The algorithm output
stepresult - Variable in class elki.workflow.EvaluationStep: Result.
steps - Variable in class elki.application.experiments.VisualizeGeodesicDistances.Par: Number of steps in the color map.
steps - Variable in class elki.application.experiments.VisualizeGeodesicDistances: Number of steps for shades.
steps - Variable in class elki.math.SinCosTable: Number of steps.
steps - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par: The number of steps to do.
steps - Variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory: Number of steps to do
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par: The number of steps to do.
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory: Number of steps to do
steps - Variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood: The number of steps to extend to.
STEPS - Static variable in class elki.math.statistics.dependence.HoughSpaceMeasure: Angular resolution.
STEPS_ID - Static variable in class elki.application.experiments.VisualizeGeodesicDistances.Par: Number of steps in the distance map.
STEPS_ID - Static variable in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par: Parameter to specify the number of steps allowed
STEPS_ID - Static variable in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par: Parameter to specify the number of steps allowed
stepTitle - Variable in class elki.logging.progress.StepProgress: Title of the current step.
STIRLING_EXACT_ERROR - Static variable in class elki.math.statistics.distribution.PoissonDistribution: Exact table values for n <= 15 in steps of 0.5
stirlingError(double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Calculates the Stirling Error
stirlingError(int) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Calculates the Stirling Error
StockIcon - Class in elki.gui.icons: Stock icon library for use in the GUI.
StockIcon() - Constructor for class elki.gui.icons.StockIcon: Private constructor.
stop - Variable in class elki.utilities.datastructures.range.LinearIntGenerator: Stop value.
stop() - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
STOPVAL - Static variable in class elki.math.spacefillingcurves.ZCurveSpatialSorter: Stopping threshold.
storage - Variable in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate.Instance: Model storage.
storage - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The data store.
storage - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: The data store.
StorageAccessor(int) - Constructor for class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor: Constructor.
StorageAccessor(int) - Constructor for class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor: Constructor.
StorageAccessor(int) - Constructor for class elki.database.datastore.memory.MapRecordStore.StorageAccessor: Constructor.
storageRkNN - Variable in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor: Additional data storage for RkNN.
store - Variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs: The backing array list.
store - Variable in class elki.database.ids.integer.ArrayStaticIntegerDBIDs: The actual storage.
store - Variable in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs: The actual store.
store - Variable in class elki.gui.minigui.MiniGUI.SettingsComboboxModel: Settings storage.
store - Variable in class elki.gui.minigui.MiniGUI: Settings storage.
store - Variable in class elki.gui.multistep.panels.SavedSettingsTabPanel: The settings file to display.
store - Variable in class elki.gui.util.SavedSettingsFile: Data store
store - Variable in class elki.index.preprocessed.knn.NNDescent: store for neighbors
store - Variable in class elki.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood: The data
store - Variable in class elki.parallel.processor.WriteDataStoreProcessor: Store to write to
store - Variable in class elki.parallel.processor.WriteDoubleDataStoreProcessor: Store to write to
store - Variable in class elki.parallel.processor.WriteIntegerDataStoreProcessor: Store to write to
store - Variable in class elki.visualization.css.CSSClassManager: Store the contained CSS classes.
STORE_IDS_ID - Static variable in class elki.clustering.BetulaLeafPreClustering.Par: Option to store ids rather than reassigning.
STORE_IDS_ID - Static variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par: Option to store ids rather than reassigning.
storeCBLOFScore(WritableDoubleDataStore, DoubleMinMax, double, DBIDIter) - Method in class elki.outlier.clustering.CBLOF
storeIds - Variable in class elki.clustering.BetulaLeafPreClustering.Par: Store ids
storeIds - Variable in class elki.clustering.BetulaLeafPreClustering: Store ids
storeIds - Variable in class elki.clustering.kmeans.BetulaLloydKMeans.Par: Store ids
storeIds - Variable in class elki.clustering.kmeans.BetulaLloydKMeans: Store ids
STR_CHOOSE_FORMAT - Static variable in class elki.visualization.savedialog.SaveOptionsPanel
STR_IMAGE_HEIGHT - Static variable in class elki.visualization.savedialog.SaveOptionsPanel
STR_IMAGE_WIDTH - Static variable in class elki.visualization.savedialog.SaveOptionsPanel
STR_JPEG_QUALITY - Static variable in class elki.visualization.savedialog.SaveOptionsPanel
STR_LOCK_ASPECT_RATIO - Static variable in class elki.visualization.savedialog.SaveOptionsPanel
STRAIGHT_ID - Static variable in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Par: Option string to draw straight lines for hull.
strategy - Variable in class elki.clustering.subspace.DiSH.Par: The strategy to determine the preference vector.
strategy - Variable in class elki.clustering.subspace.DiSH: DiSH strategy.
strategy - Variable in class elki.outlier.density.HySortOD: Strategy for hypercubes density search.
Strategy() - Constructor for enum elki.clustering.subspace.DiSH.Strategy
STRATEGY_ID - Static variable in class elki.clustering.subspace.DiSH.Par: The strategy for determination of the preference vector, available strategies are: DiSH.Strategy.APRIORI and DiSH.Strategy.MAX_INTERSECTION.
StratifiedCrossValidation - Class in elki.evaluation.classification.holdout: A stratified n-fold crossvalidation to distribute the data to n buckets where each bucket exhibits approximately the same distribution of classes as does the complete data set.
StratifiedCrossValidation(int) - Constructor for class elki.evaluation.classification.holdout.StratifiedCrossValidation: Provides a stratified crossvalidation.
StratifiedCrossValidation.Par - Class in elki.evaluation.classification.holdout: Parameterization class
stratifiedFolds(DataSet, int, int[]) - Static method in class elki.svm.AbstractSingleSVM
stream - Variable in class elki.result.textwriter.SingleStreamOutput: Output stream
STREAM_ID - Static variable in class elki.datasource.InputStreamDatabaseConnection.Par: Input stream to read.
StreamFactory - Interface in elki.result.textwriter: Interface for output handling (single file, multiple files, ...)
StreamFilter - Interface in elki.datasource.filter: Streaming filters are often more efficient (less memory use) as they do not keep a reference to earlier data.
StreamFromBundle - Class in elki.datasource.bundle: Convert a MultipleObjectsBundle to a stream.
StreamFromBundle(MultipleObjectsBundle) - Constructor for class elki.datasource.bundle.StreamFromBundle: Constructor.
StreamingParser - Interface in elki.datasource.parser: Interface for streaming parsers, that may be much more efficient in combination with filters.
strictAdd(int, double, int) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Add a merge to the pointer representation.
strictAdd(int, double, int, DBIDRef) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Add an element to the pointer representation.
STRING - Static variable in class elki.data.type.TypeUtil: A string.
STRING_NULL - Static variable in class elki.distance.set.AbstractSetDistance: Empty string.
STRING_OPTIONAL - Static variable in class elki.gui.util.DynamicParameters: Pseudo-value used in options that are optional, to unset.
STRING_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil: Static instance.
STRING_USE_DEFAULT - Static variable in class elki.gui.util.DynamicParameters: Pseudo-value used in dropdowns for options that have a default value
StringParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a string.
StringParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.StringParameter: Constructs a string parameter with the given optionID.
StringParameter(OptionID, String) - Constructor for class elki.utilities.optionhandling.parameters.StringParameter: Constructs a string parameter with the given optionID, and default value.
StringParser - Class in elki.datasource.parser: Parser that loads a text file for use with string similarity measures.
StringParser(Pattern, boolean) - Constructor for class elki.datasource.parser.StringParser: Constructor.
StringParser.Par - Class in elki.datasource.parser: Parameterization class.
StringSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.StringSerializer: Constructor.
stringSize(int) - Static method in class elki.utilities.io.FormatUtil: Compute the number of characters needed to represent the integer x.
stringSize(long) - Static method in class elki.utilities.io.FormatUtil: Compute the number of characters needed to represent the integer x.
StringStatistic - Class in elki.logging.statistics: Trivial string based statistic.
StringStatistic(String) - Constructor for class elki.logging.statistics.StringStatistic: Constructor.
StringStatistic(String, String) - Constructor for class elki.logging.statistics.StringStatistic: Constructor.
stringToColor(String) - Static method in class elki.visualization.svg.SVGUtil: Convert a color name from SVG syntax to an AWT color object.
STRIP - Static variable in class elki.application.internal.CheckELKIServices: Pattern to strip comments, while keeping commented class names.
strip_prefix(String) - Method in class elki.gui.minigui.MiniGUI: Strip the APP_PREFIX prefix.
strongEigenvalues - Variable in class elki.math.linearalgebra.pca.PCAFilteredResult: The strong eigenvalues.
strongEigenvectors - Variable in class elki.data.model.CorrelationAnalysisSolution: The strong eigenvectors of the hyperplane induced by the correlation.
strongEigenvectors - Variable in class elki.math.linearalgebra.pca.PCAFilteredResult: The strong eigenvectors to their corresponding filtered eigenvalues.
strongNeighbors(NumberVector, NumberVector, PCAFilteredResult, PCAFilteredResult) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance: Computes the distance between two given DatabaseObjects according to this distance function.
strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit: Recursively partition.
strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit: Recursively partition.
strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit: Recursively partition.
StudentsTDistribution - Class in elki.math.statistics.distribution: Student's t distribution.
StudentsTDistribution(int) - Constructor for class elki.math.statistics.distribution.StudentsTDistribution: Constructor.
StudentsTDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
style - Variable in class elki.visualization.svg.SVGPlot: Primary style information
style - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par: Drawing style.
style - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization: Drawing style.
STYLE - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Style prefix
STYLE_BORDER - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Style for border lines
STYLE_CURVES_ID - Static variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par: Flag to specify the "curves" rendering style.
STYLE_GRADIENT_FIRST - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: First color for producing segment-cluster colors
STYLE_GRADIENT_SECOND - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Second color for producing segment-cluster colors
STYLE_HOVER - Static variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Style for hover effect
STYLE_ID - Static variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par: Dendrogram drawing style.
style2 - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par: Positioning style.
style2 - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization: Position style.
stylelib - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Style library
stylelib - Variable in class elki.visualization.VisualizerParameterizer.Par: Style library
stylelib - Variable in class elki.visualization.VisualizerParameterizer: Style library to use.
STYLELIB_ID - Static variable in class elki.visualization.VisualizerParameterizer.Par: Parameter to get the style properties file.
stylelibrary - Variable in class elki.visualization.VisualizerContext: Style library
StyleLibrary - Interface in elki.visualization.style: Style library interface.
stylepol - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Style result
stylepolicy - Variable in class elki.visualization.VisualizerContext: Styling policy
StylingPolicy - Interface in elki.visualization.style: Styling policy.
sub - Variable in class elki.visualization.gui.overview.PlotItem.ItmItr
SUBCLU<V extends NumberVector> - Class in elki.clustering.subspace: Implementation of the SUBCLU algorithm, an algorithm to detect arbitrarily shaped and positioned clusters in subspaces.
SUBCLU(DimensionSelectingSubspaceDistance<V>, double, int, int) - Constructor for class elki.clustering.subspace.SUBCLU: Constructor.
SUBCLU.Par<V extends NumberVector> - Class in elki.clustering.subspace: Parameterization class.
subitems - Variable in class elki.visualization.gui.overview.PlotItem: Subitems to plot
subiter - Variable in class elki.result.Metadata.Hierarchy.ItrAnc: Iterator of current child
subiter - Variable in class elki.result.Metadata.Hierarchy.ItrDesc: Iterator of current child
subiter - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Iterator of current child
subiter - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc: Iterator of current child
subList(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNList
subList(int) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
subList(int) - Method in interface elki.database.ids.KNNList: Select a subset for a smaller k.
submit(Callable<T>) - Method in class elki.parallel.ParallelCore: Submit a task to the executor core.
SUBSAMPLE_SIZE_ID - Static variable in class elki.outlier.density.IsolationForest.Par: Parameter for the sub sample size
subsampleSize - Variable in class elki.outlier.density.IsolationForest.ForestBuilder: Subsample size to use for the trees.
subsampleSize - Variable in class elki.outlier.density.IsolationForest.Par: Size of the sample set
subsampleSize - Variable in class elki.outlier.density.IsolationForest: The sub sample size
subsetNeighborhoodQuery(DoubleDBIDList, DBIDRef, PrimitiveDistance<? super NumberVector>, double, OUTRES.KernelDensityEstimator, ModifiableDoubleDBIDList) - Method in class elki.outlier.subspace.OUTRES: Refine neighbors within a subset.
SubsetProjection(int[]) - Constructor for class elki.data.projection.random.RandomSubsetProjectionFamily.SubsetProjection: Constructor.
subspace - Variable in class elki.data.model.SubspaceModel: The subspace of the cluster.
subspace - Variable in class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery: Subspace.
subspace - Variable in class elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery: Subspace.
Subspace - Class in elki.data: Represents a subspace of the original data space.
Subspace(int) - Constructor for class elki.data.Subspace: Creates a new one-dimensional subspace of the original data space.
Subspace(long[]) - Constructor for class elki.data.Subspace: Creates a new k-dimensional subspace of the original data space.
SubspaceClusteringAlgorithm<M extends SubspaceModel> - Interface in elki.clustering.subspace: Interface for subspace clustering algorithms that use a model derived from SubspaceModel, that can then be post-processed for outlier detection.
subspaceDensity(long[], DoubleDBIDList) - Method in class elki.outlier.subspace.OUTRES.KernelDensityEstimator: Compute density in the given subspace.
subspacedim() - Method in class elki.math.linearalgebra.LinearEquationSystem: Return dimensionality of spanned subspace.
subspaceDimensionality(NumberVector, NumberVector, long[], long[], long[]) - Method in class elki.clustering.subspace.DiSH: Compute the common subspace dimensionality of two vectors.
SubspaceEuclideanDistance - Class in elki.distance.subspace: Euclidean distance function between NumberVectors only in specified dimensions.
SubspaceEuclideanDistance(long[]) - Constructor for class elki.distance.subspace.SubspaceEuclideanDistance: Constructor.
SubspaceEuclideanDistance.Par - Class in elki.distance.subspace: Parameterization class.
SubspaceLPNormDistance - Class in elki.distance.subspace: L_p-Norm distance function between NumberVectors only in specified dimensions.
SubspaceLPNormDistance(double, long[]) - Constructor for class elki.distance.subspace.SubspaceLPNormDistance: Constructor.
SubspaceLPNormDistance.Par - Class in elki.distance.subspace: Parameterization class.
SubspaceManhattanDistance - Class in elki.distance.subspace: Manhattan distance function between NumberVectors only in specified dimensions.
SubspaceManhattanDistance(long[]) - Constructor for class elki.distance.subspace.SubspaceManhattanDistance: Constructor.
SubspaceManhattanDistance.Par - Class in elki.distance.subspace: Parameterization class.
SubspaceMaximumDistance - Class in elki.distance.subspace: Maximum distance function between NumberVectors only in specified dimensions.
SubspaceMaximumDistance(long[]) - Constructor for class elki.distance.subspace.SubspaceMaximumDistance: Constructor.
SubspaceMaximumDistance.Par - Class in elki.distance.subspace: Parameterization class.
SubspaceModel - Class in elki.data.model: Model for Subspace Clusters.
SubspaceModel(Subspace, double[]) - Constructor for class elki.data.model.SubspaceModel: Creates a new SubspaceModel for the specified subspace with the given cluster mean.
subspaceOutlierDegree(V, double[], long[]) - Method in class elki.outlier.subspace.SOD: Compute SOD score.
SubtypeIt<O> - Class in elki.utilities.datastructures.iterator: Filtered iterator.
SubtypeIt(It<?>, Class<? super O>) - Constructor for class elki.utilities.datastructures.iterator.SubtypeIt: Constructor.
sum - Variable in class elki.clustering.em.KDTreeEM.KDTree: Sum of contained vectors
sum - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode: Sum of all points associated with this node
sum - Variable in class elki.math.Mean: Sum of all values.
sum(double[]) - Static method in class elki.math.linearalgebra.VMath: Sum of the vector components.
sum_nn - Variable in class elki.outlier.distance.HilOut.HilFeature: Current weight (sum of nn distances)
sumdev() - Method in class elki.index.tree.betula.features.BIRCHCF
sumdev() - Method in interface elki.index.tree.betula.features.ClusterFeature: Returns the total sum of Deviations.
sumdev() - Method in class elki.index.tree.betula.features.VIIFeature
sumdev() - Method in class elki.index.tree.betula.features.VVIFeature
sumdev() - Method in class elki.index.tree.betula.features.VVVFeature
sumFirstIntegers(long) - Static method in class elki.math.MathUtil: Compute the sum of the i first integers.
sumInvLog1p(int, int) - Static method in class elki.evaluation.scores.DCGEvaluation: Compute \sum_{i=s}^e 1/log(1+i)
sumMatrix(int[][]) - Method in class elki.math.statistics.dependence.HoughSpaceMeasure: Compute the sum of a matrix.
sumOfProbabilities(DBIDIter, DBIDArrayIter, double[]) - Static method in class elki.outlier.distance.SOS: Compute the sum of probabilities, stop at first 0, ignore query object.
sumOfSquaredDev() - Method in class elki.index.tree.betula.features.VIIFeature: Sum of Squared Deviations.
sumOfSquaredDev(int) - Method in class elki.index.tree.betula.features.VVIFeature: Sum of Squared Deviations.
sumOfSquares(NumberVector) - Static method in class elki.clustering.hierarchical.birch.ClusteringFeature: Compute the sum of squares of a vector.
sumOfSquares(NumberVector) - Static method in class elki.index.tree.betula.features.BIRCHCF: Compute the sum of squares of a vector.
sumOfSquaresOfSums() - Method in class elki.clustering.hierarchical.birch.ClusteringFeature: Sum over all dimensions of squares of linear sums.
sumOfSquaresOfSums() - Method in class elki.index.tree.betula.features.BIRCHCF: Sum over all dimensions of squares of linear sums.
sumOfSumOfSquares() - Method in class elki.clustering.hierarchical.birch.ClusteringFeature: Sum over all dimensions of sums of squares.
sumOfSumOfSquares() - Method in class elki.index.tree.betula.features.BIRCHCF: Sum over all dimensions of sums of squares.
sums - Variable in class elki.clustering.kmeans.HamerlyKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance: Sum aggregate for the new mean.
sums - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance: Current cluster sum.
sums - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization: Temporary storage used during initialization.
sums - Variable in class elki.timeseries.OfflineChangePointDetectionAlgorithm.Instance: Cumulative sum.
sumSq - Variable in class elki.clustering.em.KDTreeEM.KDTree: Sum over all squared elements (x^T * x), needed for covariance calculation
sumvar(Relation<? extends NumberVector>, int, DBIDArrayMIter, int, int) - Static method in class elki.index.tree.spatial.kd.split.SplitStrategy.Util: Compute the sum and sum-of-squares (for variance).
sumWe - Variable in class elki.math.PearsonCorrelation: Weight sum.
sumX - Variable in class elki.math.PearsonCorrelation: Current mean for X and Y.
sumXX - Variable in class elki.math.PearsonCorrelation: Aggregation for squared residuals - we are not using sum-of-squares!
sumXY - Variable in class elki.math.PearsonCorrelation: Aggregation for squared residuals - we are not using sum-of-squares!
sumY - Variable in class elki.math.PearsonCorrelation: Current mean for X and Y.
sumYY - Variable in class elki.math.PearsonCorrelation: Aggregation for squared residuals - we are not using sum-of-squares!
SUPPLEMENTARY - Static variable in annotation type elki.utilities.Priority: Supplementary priority.
supplier - Variable in class elki.utilities.datastructures.histogram.ObjHistogram: Supplier for empty bins.
support - Variable in class elki.itemsetmining.Itemset: Support for this itemset.
SupportVectorClustering - Class in elki.clustering.svm: Support Vector Clustering works on SVDD, which tries to find the smallest sphere enclosing all objects in kernel space.
SupportVectorClustering(PrimitiveSimilarity<? super NumberVector>, double) - Constructor for class elki.clustering.svm.SupportVectorClustering: Constructor.
SURFINGDependence - Class in elki.math.statistics.dependence: Compute the similarity of dimensions using the SURFING score.
SURFINGDependence() - Constructor for class elki.math.statistics.dependence.SURFINGDependence: Constructor.
SURFINGDependence.Par - Class in elki.math.statistics.dependence: Parameterization class.
sv_coef - Variable in class elki.svm.model.Model
sv_indices - Variable in class elki.svm.model.Model
SVC_Q - Class in elki.svm.qmatrix: Q matrix used by CSVC and NuSVC classification.
SVC_Q(DataSet, byte[]) - Constructor for class elki.svm.qmatrix.SVC_Q
SVDD<V> - Class in elki.outlier.svm: Support Vector Data Description for outlier detection.
SVDD - Class in elki.svm: Support Vector Data Description.
SVDD(double, boolean, double, double) - Constructor for class elki.svm.SVDD
SVDD(PrimitiveSimilarity<? super V>, double) - Constructor for class elki.outlier.svm.SVDD: Constructor.
SVDD.RadiusAcceptor - Interface in elki.svm
SVG - elki.result.ExportVisualizations.Format
SVG_CHECKMARK_PATH - Static variable in class elki.visualization.svg.SVGEffects: Checkmark path, sized approx. 15x15
SVG_COLOR_NAMES - Static variable in class elki.visualization.svg.SVGUtil: SVG color names conversion.
SVGArrow - Class in elki.visualization.svg: Static class for drawing simple arrows
SVGArrow() - Constructor for class elki.visualization.svg.SVGArrow: Private constructor.
SVGArrow.Direction - Enum in elki.visualization.svg: Direction constants
SVGButton - Class in elki.visualization.svg: Class to draw a button as SVG.
SVGButton(double, double, double, double, double) - Constructor for class elki.visualization.svg.SVGButton: Constructor.
svgCanvas - Variable in class elki.visualization.gui.ResultWindow: The SVG canvas.
svgCanvas - Variable in class elki.visualization.gui.SimpleSVGViewer: The main canvas.
SVGCheckbox - Class in elki.visualization.svg: SVG checkbox.
SVGCheckbox(boolean) - Constructor for class elki.visualization.svg.SVGCheckbox: Constructor, without label
SVGCheckbox(boolean, String) - Constructor for class elki.visualization.svg.SVGCheckbox: Constructor, with label
svgCircle(double, double, double) - Method in class elki.visualization.svg.SVGPlot: Create a SVG circle
svgCircle(Document, double, double, double) - Static method in class elki.visualization.svg.SVGUtil: Create a SVG circle element.
svgCircleSegment(SVGPlot, double, double, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil: Create a circle segment.
SVGCloneVisible - Class in elki.visualization.svg: Clone visible parts of an SVG document.
SVGCloneVisible() - Constructor for class elki.visualization.svg.SVGCloneVisible
SVGEffects - Class in elki.visualization.svg: Class containing some popular SVG effects.
SVGEffects() - Constructor for class elki.visualization.svg.SVGEffects: Private constructor.
svgElement(String) - Method in class elki.visualization.svg.SVGPlot: Create a SVG element in the SVG namespace.
svgElement(String, String) - Method in class elki.visualization.svg.SVGPlot: Create a SVG element in the SVG namespace.
svgElement(Document, String) - Static method in class elki.visualization.svg.SVGUtil: Create a SVG element in appropriate namespace
SVGHyperCube - Class in elki.visualization.svg: Utility class to draw hypercubes, wireframe and filled.
SVGHyperCube() - Constructor for class elki.visualization.svg.SVGHyperCube: Private constructor.
SVGHyperSphere - Class in elki.visualization.svg: Utility class to draw hypercubes, wireframe and filled.
SVGHyperSphere() - Constructor for class elki.visualization.svg.SVGHyperSphere: Private constructor.
svgLine(double, double, double, double) - Method in class elki.visualization.svg.SVGPlot: Create a SVG line element
svgLine(Document, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil: Create a SVG line element.
svgp - Variable in class elki.visualization.batikutil.DragableArea: The plot we are attached to.
svgp - Variable in class elki.visualization.visualizers.AbstractVisualization: The plot we are attached to
SVGPath - Class in elki.visualization.svg: Element used for building an SVG path using a string buffer.
SVGPath() - Constructor for class elki.visualization.svg.SVGPath: Empty path constructor.
SVGPath(double[]) - Constructor for class elki.visualization.svg.SVGPath: Constructor with initial point.
SVGPath(double, double) - Constructor for class elki.visualization.svg.SVGPath: Constructor with initial point.
SVGPath(Polygon) - Constructor for class elki.visualization.svg.SVGPath: Constructor from a double[] collection (e.g., a polygon)
SVGPlot - Class in elki.visualization.svg: Base class for SVG plots.
SVGPlot() - Constructor for class elki.visualization.svg.SVGPlot: Create a new plotting document.
svgRect(double, double, double, double) - Method in class elki.visualization.svg.SVGPlot: Create a SVG rectangle
svgRect(Document, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil: Create a SVG rectangle element.
SVGSaveDialog - Class in elki.visualization.savedialog: A save dialog to save/export a SVG image to a file.
SVGSaveDialog() - Constructor for class elki.visualization.savedialog.SVGSaveDialog: Private constructor.
SVGScoreBar - Class in elki.visualization.svg: Draw a score bar.
SVGScoreBar() - Constructor for class elki.visualization.svg.SVGScoreBar: Constructor.
SVGSimpleLinearAxis - Class in elki.visualization.svg: Class to draw a simple axis with tick marks on the plot.
SVGSimpleLinearAxis() - Constructor for class elki.visualization.svg.SVGSimpleLinearAxis: Private constructor.
SVGSimpleLinearAxis.Alignment - Enum in elki.visualization.svg: Flag for axis label position.
SVGSimpleLinearAxis.LabelStyle - Enum in elki.visualization.svg: Labeling style: left-handed, right-handed, no ticks, labels at ends
svgText(double, double, String) - Method in class elki.visualization.svg.SVGPlot: Create a SVG text element.
svgText(Document, double, double, String) - Static method in class elki.visualization.svg.SVGUtil: Create a SVG text element.
SVGUtil - Class in elki.visualization.svg: Utility class for SVG processing.
SVGUtil() - Constructor for class elki.visualization.svg.SVGUtil: Private constructor.
svgWaitIcon(Document, double, double, double, double) - Static method in class elki.visualization.svg.SVGUtil: Draw a simple "please wait" icon (in-progress) as placeholder for running renderings.
SVMKernel() - Constructor for enum elki.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
svr_probability(DataSet, double[]) - Method in class elki.svm.AbstractSVR
SVR_Q - Class in elki.svm.qmatrix: Q matrix used for regression by EpsilonSVR and NuSVR.
SVR_Q(DataSet, double) - Constructor for class elki.svm.qmatrix.SVR_Q
swap(byte[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in a byte array.
swap(double[], int[], int, int) - Static method in class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Swap two entries.
swap(double[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in a double array.
swap(double[], int, int) - Static method in class elki.utilities.datastructures.QuickSelect: The usual swap method.
swap(float[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in a float array.
swap(int[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in an integer array.
swap(int, int) - Method in interface elki.database.ids.ArrayModifiableDBIDs: Swap DBIDs add positions a and b.
swap(int, int) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
swap(int, int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
swap(int, int) - Method in interface elki.database.ids.ModifiableDoubleDBIDList: Swap to entries in the list.
swap(int, int) - Method in class elki.svm.data.ByteWeightedArrayDataSet
swap(int, int) - Method in interface elki.svm.data.DataSet: Swap two elements.
swap(int, int) - Method in class elki.svm.data.DoubleWeightedDataSet
swap(int, int) - Method in class elki.svm.data.SimilarityQueryAdapter
swap(int, int) - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Swap two values.
swap(int, int) - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Swap two values.
swap(short[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in a short array.
swap(PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher, int, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
swap(ArrayList<T>, int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in an object array.
swap(List<T>, int, int) - Static method in class elki.utilities.datastructures.QuickSelect: The usual swap method.
swap(T[], int, int) - Static method in class elki.utilities.datastructures.arrays.ArrayUtil: Swap two values in an object array.
swap(T, int, int) - Method in interface elki.utilities.datastructures.QuickSelect.Adapter: Swap the two elements at positions i and j.
swap_index(int, int) - Method in class elki.svm.qmatrix.CachedQMatrix
swap_index(int, int) - Method in class elki.svm.qmatrix.Kernel
swap_index(int, int) - Method in interface elki.svm.qmatrix.QMatrix: Reorganize the data by swapping two entries.
swap_index(int, int) - Method in class elki.svm.qmatrix.SVC_Q
swap_index(int, int) - Method in class elki.svm.qmatrix.SVR_Q
swap_index(int, int) - Method in class elki.svm.solver.Solver
swapAxes(int, int) - Method in interface elki.visualization.projections.ProjectionParallel: Exchange axes A and B
swapAxes(int, int) - Method in class elki.visualization.projections.SimpleParallel
SWAPPED_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleDoublePair: Comparator to compare by swapped components
SWAPPED_COMPARATOR - Static variable in class elki.utilities.pairs.DoubleIntPair: Comparator to compare by swapped components
SWAPPED_COMPARATOR - Static variable in class elki.utilities.pairs.IntDoublePair: Comparator to compare by swapped components
SWAPPED_COMPARATOR - Static variable in class elki.utilities.pairs.IntIntPair: Comparator to compare by swapped components
SweepHullDelaunay2D - Class in elki.math.geometry: Compute the Convex Hull and/or Delaunay Triangulation, using the sweep-hull approach of David Sinclair.
SweepHullDelaunay2D() - Constructor for class elki.math.geometry.SweepHullDelaunay2D: Constructor.
SweepHullDelaunay2D(List<double[]>) - Constructor for class elki.math.geometry.SweepHullDelaunay2D: Constructor.
SweepHullDelaunay2D.Orientation - Enum in elki.math.geometry: The possible orientations two triangles can have to each other.
SweepHullDelaunay2D.Triangle - Class in elki.math.geometry: Class representing a triangle, by referencing points in a list.
SWITCH - Static variable in class elki.math.statistics.distribution.BetaDistribution: Limit of when to switch to quadrature method
SwitchModeAction(VisualizationTask, VisualizerContext) - Constructor for class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.SwitchModeAction: Constructor.
switchState(OpenGL3DParallelCoordinates.Instance.State) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Switch the current state.
SwitchStyleAction(VisualizationTask, VisualizerContext) - Constructor for class elki.visualization.visualizers.visunproj.DendrogramVisualization.SwitchStyleAction: Constructor.
symmetric - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par: Generate symmetric distributions only.
symmetric - Variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier: Generate symmetric distributions only.
symmetric - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par: Generate symmetric distributions only.
symmetric - Variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier: Generate symmetric distributions only.
SYMMETRIC_ID - Static variable in interface elki.data.uncertain.uncertainifier.Uncertainifier: Shared parameter: to force centering the uncertain region on the exact vector.
symmetricIntersection(DBIDs, DBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs) - Static method in class elki.database.ids.DBIDUtil: Compute the set symmetric intersection of two sets.
sync - Variable in class elki.visualization.svg.UpdateRunner: Owner/Synchronization object
synchronizedRedraw() - Method in class elki.visualization.gui.VisualizationPlot: Trigger a redraw, but avoid excessive redraws.
synchronizer - Variable in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Synchronizer to use when synchronizing SVG plots
synchronizer - Variable in class elki.visualization.svg.UpdateRunner: Synchronizer that can block events from being executed right away.
synchronizeWith(UpdateSynchronizer) - Method in class elki.visualization.svg.SVGPlot: Assign an update synchronizer.
synchronizeWith(UpdateSynchronizer) - Method in class elki.visualization.svg.UpdateRunner: Set a new update synchronizer.
SYSTEM_SEARCH - Static variable in class elki.gui.icons.StockIcon

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Classes All Packages