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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
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> = v1T 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
scale - Variable in class elki.utilities.referencepoints.RandomGeneratedReferencePoints
Holds the scaling factor.
scale - Variable in class elki.utilities.referencepoints.StarBasedReferencePoints.Par
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 - 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
set(Integer) - Method in class elki.parallel.variables.SharedInteger.Instance
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
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
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
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
Lp-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 v1T 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.