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

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

T

t - Variable in class elki.clustering.kmeans.YinYangKMeans.Par: Number of groups in the initial clustering of the centroids.
t - Variable in class elki.clustering.kmeans.YinYangKMeans: Number of cluster center groups t
t - Variable in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter: Position in ties.
t - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The axes intercept.
t - Variable in class elki.math.statistics.LinearRegression
t - Variable in class elki.outlier.distance.HilOut: LPNorm p parameter
T_ID - Static variable in class elki.clustering.kmeans.YinYangKMeans.Par: Parameter to specify t the number of centroid groups.
t1 - Variable in class elki.clustering.CanopyPreClustering: Threshold for inclusion
t2 - Variable in class elki.clustering.CanopyPreClustering: Threshold for removal
table - Static variable in class elki.math.statistics.dependence.HoughSpaceMeasure: Precompute sinus and cosinus
table - Variable in class elki.visualization.gui.SelectionTableWindow: The JTable
TABPOS - Static variable in class elki.math.statistics.dependence.HoeffdingsD
TABULAR - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.OutputFormat
TABVAL - Static variable in class elki.math.statistics.dependence.HoeffdingsD
TAG_CLIP - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Clipping
TAG_CLUSTER - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Cluster tag
TAG_DATASET - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Dataset tag
TAG_GAMMA - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Gamma distribution
TAG_HALTON - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Halton pseudo uniform distribution.
TAG_NORMAL - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Normal distribution
TAG_POINT - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Point in static cluster
TAG_ROTATE - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Rotation
TAG_SIMPLE - Static variable in class elki.data.type.TypeInformationSerializer: Tag for simple type.
TAG_STATIC - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Static cluster
TAG_TRANSLATE - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Translation
TAG_UNIFORM - Static variable in class elki.datasource.GeneratorXMLDatabaseConnection: Uniform distribution
TAG_VECTOR - Static variable in class elki.data.type.TypeInformationSerializer: Tag for non-field vector type.
TAG_VECTOR_FIELD - Static variable in class elki.data.type.TypeInformationSerializer: Tag for vector field type.
tailingNonNewline(char[], int, int) - Method in class elki.logging.OutputStreamLogger: Count the tailing non-newline characters.
tailingNonNewline(String, int, int) - Method in class elki.gui.util.LogPane: Count the tailing non-newline characters.
tailingNonNewline(String, int, int) - Method in class elki.logging.OutputStreamLogger: Count the tailing non-newline characters.
TARGET - Static variable in class elki.math.statistics.dependence.MaximumConditionalEntropy: Desired size: 35 observations.
task - Variable in class elki.application.KDDCLIApplication.Par: The KDD Task to perform.
task - Variable in class elki.application.KDDCLIApplication: The KDD Task to perform.
task - Variable in class elki.logging.progress.AbstractProgress: The task name.
task - Variable in class elki.visualization.visualizers.AbstractVisualization: The visualization task we do.
task - Variable in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.SwitchModeAction: Task we represent.
task - Variable in class elki.visualization.visualizers.visunproj.DendrogramVisualization.SwitchStyleAction: Task we represent.
Task(double, int, int) - Constructor for class elki.algorithm.KNNJoin.Task: Constructor.
Task(ThumbnailThread.Listener) - Constructor for class elki.visualization.visualizers.thumbs.ThumbnailThread.Task: Constructor.
taskmap - Variable in class elki.visualization.gui.detail.DetailView: Map from tasks to visualizations.
tasks - Variable in class elki.visualization.gui.overview.PlotItem: The visualization tasks at this location
taskSize() - Method in class elki.visualization.gui.overview.PlotItem: Number of tasks in this item.
tau - Variable in class elki.clustering.correlation.ERiC.Settings: Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.
tau - Variable in class elki.clustering.em.KDTreeEM.Par: cutoff threshold
tau - Variable in class elki.clustering.em.KDTreeEM: tau, low for precise, high for fast results.
tau - Variable in class elki.clustering.subspace.CLIQUE.Par: Density threshold / selectivity.
tau - Variable in class elki.clustering.subspace.CLIQUE: Density threshold / selectivity.
TAU_CLASS_ID - Static variable in class elki.clustering.em.KDTreeEM.Par: drop one class if the maximum weight of a class in the bounding box is lower than tauClass * wmin_max, where wmin_max is the maximum minimum weight of all classes
TAU_ID - Static variable in class elki.clustering.correlation.ERiC.Par: Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.
TAU_ID - Static variable in class elki.clustering.em.KDTreeEM.Par: Parameter to specify the pruning criterion during the algorithm.
TAU_ID - Static variable in class elki.clustering.subspace.CLIQUE.Par: Parameter to specify the density threshold for the selectivity of a unit, where the selectivity is the fraction of total feature vectors contained in this unit, must be a double greater than 0 and less than 1.
tauclass - Variable in class elki.clustering.em.KDTreeEM.Par: cutoff safety threshold
tauClass - Variable in class elki.clustering.em.KDTreeEM: Drop one class if the maximum weight of a class in the bounding box is lower than tauClass * wmin_max, where wmin_max is the maximum minimum weight of all classes
tCriterium - Variable in class elki.index.tree.betula.CFTree.Factory.Par: Threshold heuristic strategy.
tCriterium - Variable in class elki.index.tree.betula.CFTree.Factory: Threshold heuristic strategy.
tCriterium - Variable in class elki.index.tree.betula.CFTree: Threshold heuristic strategy.
tdim - Variable in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter: The dimensionality to which the data should be reduced.
tdim - Variable in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Target dimensionality
tdim - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par: Target dimensionality.
tdim - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Target dimensionality
tds - Variable in class elki.clustering.hierarchical.HACAM.Instance: Total deviations (for minimum sum increase only)
TempCluster(int, double) - Constructor for class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Constructor.
TempCluster(int, double, HDBSCANHierarchyExtraction.TempCluster, HDBSCANHierarchyExtraction.TempCluster) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Cluster containing two existing clusters.
TempCluster(int, double, DBIDRef) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Constructor.
temporary - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Temporary assignments of a single run.
TermFrequencyParser<V extends SparseNumberVector> - Class in elki.datasource.parser: A parser to load term frequency data, which essentially are sparse vectors with text keys.
TermFrequencyParser(boolean, SparseNumberVector.Factory<V>) - Constructor for class elki.datasource.parser.TermFrequencyParser: Constructor.
TermFrequencyParser(boolean, CSVReaderFormat, long[], SparseNumberVector.Factory<V>) - Constructor for class elki.datasource.parser.TermFrequencyParser: Constructor.
TermFrequencyParser.Par<V extends SparseNumberVector> - Class in elki.datasource.parser: Parameterization class.
test - Variable in class elki.evaluation.classification.holdout.TrainingAndTestSet: The test data.
test() - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
test() - Method in class elki.evaluation.scores.adapter.DistanceResultAdapter
test() - Method in class elki.evaluation.scores.adapter.OutlierScoreAdapter
test() - Method in class elki.evaluation.scores.adapter.SimpleAdapter
test() - Method in interface elki.evaluation.scores.ScoreEvaluation.Adapter: True if the current object is a positive example.
test(Number) - Method in class elki.utilities.optionhandling.constraints.GreaterConstraint: Checks if the number value given by the number parameter is greater than the constraint value.
test(Number) - Method in class elki.utilities.optionhandling.constraints.GreaterEqualConstraint: Checks if the number value given by the number parameter is greater equal than the constraint value.
test(Number) - Method in class elki.utilities.optionhandling.constraints.LessConstraint: Checks if the number value given by the number parameter is less than the constraint value.
test(Number) - Method in class elki.utilities.optionhandling.constraints.LessEqualConstraint: Checks if the number value given by the number parameter is less equal than the constraint value.
test(Object) - Method in class elki.utilities.optionhandling.constraints.ListSizeConstraint: Checks if the list parameter fulfills the size constraint.
test(T) - Method in class elki.utilities.optionhandling.constraints.ListEachNumberConstraint
test(T) - Method in interface elki.utilities.optionhandling.constraints.ParameterConstraint: Checks if the value t of the parameter to be tested fulfills the parameter constraint.
TEST_ID - Static variable in class elki.math.statistics.dependence.HiCSDependence.Par: Parameter that specifies which statistical test to use in order to calculate the deviation of two given data samples.
TEST_ID - Static variable in class elki.math.statistics.dependence.MCDEDependence.Par: Parameter that specifies which MCDE statistical test to use in order to calculate the contrast between the instances in the slice vs out of slice.
testAgainstModel - Variable in class elki.data.synthetic.bymodel.GeneratorMain: Controls whether points are tested against the model during generation.
testAgainstModel - Variable in class elki.datasource.GeneratorXMLDatabaseConnection: Set testAgainstModel flag
testClipping(double[]) - Method in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Test if a point is to be clipped
testClockwise() - Method in class elki.data.spatial.Polygon: Test polygon orientation.
testLoggingRate(int) - Method in class elki.logging.progress.AbstractProgress: Logging rate control.
testMergeable(CSSClassManager) - Method in class elki.visualization.css.CSSClassManager: Check whether or not CSS classes of two plots can be merged
TestModel() - Constructor for class elki.data.synthetic.bymodel.GeneratorMain.TestModel
testResample(double) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Test (and perform) downsampling when needed.
testResample(double) - Method in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Test (and perform) downsampling when neede.
texheight - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings: Texture height.
TEXT_COLOR - Static variable in interface elki.visualization.style.StyleLibrary: Text color
TEXT_SIZE - Static variable in interface elki.visualization.style.StyleLibrary: Text size
TextbookMultivariateGaussianModel - Class in elki.clustering.em.models: Numerically problematic implementation of the GMM model, using the textbook algorithm.
TextbookMultivariateGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModel: Constructor.
TextbookMultivariateGaussianModel(double, double[], double[][]) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModel: Constructor.
TextbookMultivariateGaussianModelFactory - Class in elki.clustering.em.models: Factory for EM with multivariate Gaussian model, using the textbook algorithm.
TextbookMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModelFactory: Constructor.
TextbookSphericalGaussianModel - Class in elki.clustering.em.models: Simple spherical Gaussian cluster.
TextbookSphericalGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModel: Constructor.
TextbookSphericalGaussianModel(double, double[], double) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModel: Constructor.
TextbookSphericalGaussianModelFactory - Class in elki.clustering.em.models: Factory for EM with multivariate gaussian models using a single variance.
TextbookSphericalGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModelFactory: Constructor.
textfield - Variable in class elki.gui.configurator.ClassListParameterConfigurator: Text field to store the name
textfield - Variable in class elki.gui.configurator.ClassParameterConfigurator: Text field to store the name
textfield - Variable in class elki.gui.configurator.FileParameterConfigurator: Text field to store the name
textfield - Variable in class elki.gui.util.ParameterTable.ClassListEditor: Text field to store the name
textfield - Variable in class elki.gui.util.ParameterTable.FileNameEditor: Text field to store the name
TextParameterConfigurator - Class in elki.gui.configurator: Provide a configuration panel to input an arbitrary text parameter.
TextParameterConfigurator(Parameter<?>, JComponent) - Constructor for class elki.gui.configurator.TextParameterConfigurator
textrenderer - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Text renderer
textures - Variable in class elki.visualization.parallel3d.Parallel3DRenderer: Prerendered textures.
TextWriteable - Interface in elki.result.textwriter: Interface for objects providing a text serialization suitable for human reading and storage in CSV files.
TextWriter - Class in elki.result.textwriter: Class to write a result to human-readable text output.
TextWriter() - Constructor for class elki.result.textwriter.TextWriter
TextWriterConfusionMatrixResult - Class in elki.result.textwriter.writers: Write a classification evaluation to a text file.
TextWriterConfusionMatrixResult() - Constructor for class elki.result.textwriter.writers.TextWriterConfusionMatrixResult
TextWriterDoubleArray - Class in elki.result.textwriter.writers: Write a double array.
TextWriterDoubleArray() - Constructor for class elki.result.textwriter.writers.TextWriterDoubleArray
TextWriterDoubleDoublePair - Class in elki.result.textwriter.writers: Write a pair
TextWriterDoubleDoublePair() - Constructor for class elki.result.textwriter.writers.TextWriterDoubleDoublePair
TextWriterIgnore - Class in elki.result.textwriter.writers: Ignore the given object when serializing to text.
TextWriterIgnore() - Constructor for class elki.result.textwriter.writers.TextWriterIgnore
TextWriterIntArray - Class in elki.result.textwriter.writers: Write a double array.
TextWriterIntArray() - Constructor for class elki.result.textwriter.writers.TextWriterIntArray
TextWriterObjectArray<T> - Class in elki.result.textwriter.writers: Write an object into the inline section, using the objects toString method.
TextWriterObjectArray() - Constructor for class elki.result.textwriter.writers.TextWriterObjectArray
TextWriterObjectComment - Class in elki.result.textwriter.writers: Write an object into the comments section, using the objects toString() method.
TextWriterObjectComment() - Constructor for class elki.result.textwriter.writers.TextWriterObjectComment
TextWriterObjectInline - Class in elki.result.textwriter.writers: Write an object into the inline section, using the objects toString method.
TextWriterObjectInline() - Constructor for class elki.result.textwriter.writers.TextWriterObjectInline
TextWriterPair - Class in elki.result.textwriter.writers: Write a pair
TextWriterPair() - Constructor for class elki.result.textwriter.writers.TextWriterPair
TextWriterPanel() - Constructor for class elki.visualization.gui.ResultWindow.TextWriterPanel: Constructor.
TextWriterStream - Class in elki.result.textwriter: Representation of an output stream to a text file.
TextWriterStream(PrintStream, HandlerList<TextWriterWriterInterface<?>>, TextWriterWriterInterface<?>) - Constructor for class elki.result.textwriter.TextWriterStream: Constructor.
TextWriterTextWriteable - Class in elki.result.textwriter.writers: Write an object, using the objects own TextWriteable interface.
TextWriterTextWriteable() - Constructor for class elki.result.textwriter.writers.TextWriterTextWriteable
TextWriterWriterInterface<O> - Class in elki.result.textwriter: Base class for object writers.
TextWriterWriterInterface() - Constructor for class elki.result.textwriter.TextWriterWriterInterface
TextWriterXYCurve - Class in elki.result.textwriter.writers: Serialize an XYCurve to text.
TextWriterXYCurve() - Constructor for class elki.result.textwriter.writers.TextWriterXYCurve
texwidth - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings: Texture width.
theight - Variable in class elki.visualization.gui.overview.RectangleArranger: Height
theoreticalBaseline - Variable in class elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical baseline
theoreticalBaseline - Variable in class elki.result.outlier.ProbabilisticOutlierScore: Theoretical baseline specified by the algorithm.
theoreticalMaximum - Variable in class elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical maximum
theoreticalMinimum - Variable in class elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical minimum
theta - Variable in class elki.math.statistics.distribution.ExpGammaDistribution.Par: Theta == 1 / Beta.
theta - Variable in class elki.math.statistics.distribution.ExpGammaDistribution: Theta == 1 / Beta.
theta - Variable in class elki.math.statistics.distribution.GammaDistribution.Par: Parameters.
theta - Variable in class elki.math.statistics.distribution.GammaDistribution: Theta == 1 / Beta
theta - Variable in class elki.math.statistics.distribution.LogGammaDistribution.Par: Parameters.
theta - Variable in class elki.math.statistics.distribution.LogGammaDistribution: Theta == 1 / Beta.
theta - Variable in class elki.math.statistics.distribution.WeibullDistribution.Par: Parameters.
theta - Variable in class elki.math.statistics.distribution.WeibullDistribution: Shift offset.
theta - Variable in class elki.similarity.kernel.SigmoidKernel.Par: C parameter, theta parameter
theta - Variable in class elki.similarity.kernel.SigmoidKernel: Scaling factor c, bias theta
theta - Variable in class elki.utilities.scaling.outlier.OutlierGammaScaling: Gamma parameter theta
THETA_ID - Static variable in class elki.math.statistics.distribution.ExpGammaDistribution.Par: Theta parameter, same as GammaDistribution.Par.THETA_ID.
THETA_ID - Static variable in class elki.math.statistics.distribution.GammaDistribution.Par: Theta parameter.
THETA_ID - Static variable in class elki.similarity.kernel.SigmoidKernel.Par: Theta parameter: bias
THREAD - Static variable in class elki.visualization.visualizers.thumbs.ThumbnailThread: The static thumbnail thread.
threshold - Variable in class elki.clustering.correlation.LMCLUS.Par: Threshold
threshold - Variable in class elki.clustering.correlation.LMCLUS.Separation: Threshold
threshold - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par: Cluster merge threshold.
threshold - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory: Cluster merge threshold.
threshold - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par: Threshold level.
threshold - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight: Threshold for extracting clusters.
threshold - Variable in class elki.clustering.Leader: Maximum distance from leading object,
threshold - Variable in class elki.clustering.uncertain.FDBSCAN.Par: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Instance: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class elki.database.query.ExactPrioritySearcher: Distance threshold
threshold - Variable in class elki.evaluation.outlier.OutlierThresholdClustering.Par: Threshold to use
threshold - Variable in class elki.evaluation.outlier.OutlierThresholdClustering: Thresholds to use
threshold - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Query threshold
threshold - Variable in class elki.index.tree.betula.CFTree.Factory.Par: Cluster merge threshold.
threshold - Variable in class elki.index.tree.betula.CFTree.Factory: Cluster merge threshold.
threshold - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Stopping distance threshold.
threshold - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Stopping distance threshold.
threshold - Variable in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher: Stopping threshold.
threshold - Variable in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher: Stopping threshold.
threshold - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher: Stopping threshold.
threshold - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher: Stopping threshold.
threshold - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher: Stopping threshold.
threshold - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: Stopping distance threshold
threshold - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Stopping distance threshold
threshold - Variable in class elki.visualization.batikutil.LazyCanvasResizer: Active threshold
Threshold() - Constructor for enum elki.index.tree.betula.CFTree.Threshold
THRESHOLD - Static variable in class elki.math.geometry.XYCurve: Simplification threshold
THRESHOLD - Static variable in class elki.math.geometry.XYPlot: Simplification threshold
THRESHOLD_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par: Global significance threshold
THRESHOLD_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par: Distance threshold.
THRESHOLD_ID - Static variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par: The threshold level for which to extract the clustering.
THRESHOLD_ID - Static variable in class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par: Threshold for epsilon-neighborhood, defaults to 0.5.
THRESHOLD_ID - Static variable in class elki.evaluation.outlier.OutlierThresholdClustering.Par: Parameter to specify the threshold
THRESHOLD_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par: Distance threshold.
thresholdLength(double[][], int[]) - Static method in class elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit: Choose the threshold length of edges to consider omittig.
thresholdsq - Variable in class elki.clustering.hierarchical.birch.CFTree: Squared maximum radius threshold of a clustering feature.
thresholdsq - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Cutoff threshold.
thresholdsq - Variable in class elki.index.tree.betula.CFTree: Squared maximum radius threshold of a clustering feature.
thresholdUp - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Fake lower bound to return for cut-off values.
THROBBER_PATH - Static variable in class elki.visualization.svg.SVGUtil: Throbber path.
THROBBER_STYLE - Static variable in class elki.visualization.svg.SVGUtil: Throbber style.
thumb - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Our thumbnail (keep a reference to prevent garbage collection!)
thumbid - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: The thumbnail id.
ThumbnailRegistryEntry - Class in elki.visualization.batikutil: Access images via an internal image registry.
ThumbnailRegistryEntry() - Constructor for class elki.visualization.batikutil.ThumbnailRegistryEntry: Constructor.
ThumbnailRegistryEntry.InternalParsedURLData - Class in elki.visualization.batikutil: URL representation for internal URLs.
ThumbnailThread - Class in elki.visualization.visualizers.thumbs: Thread to render thumbnails in the background.
ThumbnailThread() - Constructor for class elki.visualization.visualizers.thumbs.ThumbnailThread
ThumbnailThread.Listener - Interface in elki.visualization.visualizers.thumbs: Listener interface for completed thumbnails.
ThumbnailThread.Task - Class in elki.visualization.visualizers.thumbs: A single thumbnailer task.
ThumbnailTranscoder - Class in elki.visualization.batikutil: Transcode images to in-memory thumbnails.
ThumbnailTranscoder() - Constructor for class elki.visualization.batikutil.ThumbnailTranscoder: Constructor.
ThumbnailVisualization - Class in elki.visualization.visualizers.thumbs: Thumbnail visualization.
ThumbnailVisualization(VisualizerContext, VisFactory, VisualizationTask, VisualizationPlot, double, double, Projection, int) - Constructor for class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Constructor.
tiedToPrevious() - Method in class elki.evaluation.scores.adapter.AbstractVectorIter
tiedToPrevious() - Method in class elki.evaluation.scores.adapter.DistanceResultAdapter
tiedToPrevious() - Method in class elki.evaluation.scores.adapter.OutlierScoreAdapter
tiedToPrevious() - Method in class elki.evaluation.scores.adapter.SimpleAdapter
tiedToPrevious() - Method in interface elki.evaluation.scores.ScoreEvaluation.Adapter: Test whether the score is the same as the previous objects score.
ties - Variable in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: List to track ties.
TightLIDEstimator - Class in elki.math.statistics.intrinsicdimensionality: TightLID Estimator (TLE) of the intrinsic dimensionality (maximum likelihood estimator for ID using auxiliary distances).
TightLIDEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.TightLIDEstimator
TightLIDEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.
time - Variable in class elki.workflow.AlgorithmStep.Par: Enable logging of performance data
TIME_ID - Static variable in class elki.workflow.AlgorithmStep.Par: Flag to allow verbose messages while running the application.
TIME_UNIT_DIGITS - Static variable in class elki.utilities.io.FormatUtil: The number of digits used for formatting
TIME_UNIT_NAMES - Static variable in class elki.utilities.io.FormatUtil: The strings used in serialization
TIME_UNIT_SIZES - Static variable in class elki.utilities.io.FormatUtil: The time unit sizes: ms, s, m, h, d; all in ms.
timelimit - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Timelimit
timelimit - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores: Timelimit for computation (not strictly enforced).
TIMELIMIT_ID - Static variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Option ID to limit the maximum time for an iteration
TimeoutException(String) - Constructor for exception elki.application.greedyensemble.ComputeKNNOutlierScores.TimeoutException: Constructor.
times(double[][], double) - Static method in class elki.math.linearalgebra.VMath: Multiply a matrix by a scalar component-wise, m3 = m1 * s1.
times(double[][], double[]) - Static method in class elki.math.linearalgebra.VMath: Matrix with vector multiplication, m1 * v2.
times(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication, m1 * m2.
times(double[], double) - Static method in class elki.math.linearalgebra.VMath: Multiply component-wise v1 * s1.
times(double[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Deprecated.
this is fairly inefficient memory layout, rewriting your code
timesEquals(double[][], double) - Static method in class elki.math.linearalgebra.VMath: Multiply a matrix by a scalar component-wise in place, m1 = m1 * s1, overwriting the existing matrix m1.
timesEquals(double[], double) - Static method in class elki.math.linearalgebra.VMath: Multiply component-wise v1 = v1 * s1, overwriting the vector v1.
timesMinus(double[], double, double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 * s1 - v2.
timesMinusEquals(double[], double, double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 * s1 - v2, overwriting the vector v1.
timesMinusTimes(double[], double, double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 * s1 - v2 * s2.
timesMinusTimesEquals(double[], double, double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 * s1 - v2 * s2, overwriting the vector v1.
timesPlus(double[], double, double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 * s1 + v2.
timesPlusEquals(double[], double, double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 * s1 + v2, overwriting the vector v1.
timesPlusTimes(double[], double, double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 * s1 + v2 * s2.
timesPlusTimesEquals(double[], double, double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 * s1 + v2 * s2, overwriting the vector v1.
timesTranspose(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication, m1 * m2^T
timesTranspose(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Vectors to matrix multiplication, v1 * v2^T.
timesTranspose(double[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Deprecated.
this is fairly inefficient memory layout, rewriting your code
title - Variable in class elki.result.AutomaticVisualization.Par: Stores the set title.
title - Variable in class elki.result.AutomaticVisualization: Stores the set title.
title - Variable in class elki.visualization.svg.SVGButton: Button title, optional
title() - Method in annotation type elki.utilities.documentation.Reference: Publication title.
Title - Annotation Type in elki.utilities.documentation: Simple interface to provide a nicer title for the class.
titlecss - Variable in class elki.visualization.svg.SVGButton: Title styling
tmp - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel: Temporary storage, to avoid reallocations.
tmp - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Temporary storage, to avoid reallocations.
tmp - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNSearcher: Temporary storage.
tmp - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Temporary storage.
tmp - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeSearcher: Temporary storage.
tmp - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNSearcher: Temporary storage.
tmp - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Temporary storage.
tmp - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeSearcher: Temporary storage.
tmpcomp - Variable in class elki.clustering.correlation.HiCO.Instance: Sort object by the temporary fields.
tmpcomp - Variable in class elki.clustering.subspace.DiSH.Instance: Sort object by the temporary fields.
tmpCorrelation - Variable in class elki.clustering.correlation.HiCO.Instance: Temporary storage of correlation values.
tmpCorrelation - Variable in class elki.clustering.subspace.DiSH.Instance: Temporary storage of correlation values.
tmpDistance - Variable in class elki.clustering.correlation.HiCO.Instance: Temporary storage of distances.
tmpDistance - Variable in class elki.clustering.subspace.DiSH.Instance: Temporary storage of distances.
tmpIds - Variable in class elki.clustering.correlation.HiCO.Instance: Temporary ids.
tmpIds - Variable in class elki.clustering.subspace.DiSH.Instance: Temporary ids.
tmpPreferenceVectors - Variable in class elki.clustering.subspace.DiSH.Instance: Temporary storage for new preference vectors.
tn - Variable in class elki.outlier.distance.HilOut: Reporting mode: exact (top n) only, or all
toArray() - Method in class elki.data.BitVector: Returns a Vector representing in one column and getDimensionality() rows the values of this BitVector as double values.
toArray() - Method in class elki.data.ByteVector
toArray() - Method in class elki.data.DoubleVector
toArray() - Method in class elki.data.FloatVector
toArray() - Method in class elki.data.IntegerVector
toArray() - Method in interface elki.data.NumberVector: Returns a double array copy of this vector.
toArray() - Method in class elki.data.OneDimensionalDoubleVector
toArray() - Method in class elki.data.ShortVector
toArray() - Method in class elki.data.SparseByteVector
toArray() - Method in class elki.data.SparseDoubleVector
toArray() - Method in class elki.data.SparseFloatVector
toArray() - Method in class elki.data.SparseIntegerVector
toArray() - Method in class elki.data.SparseShortVector
toArray() - Method in class elki.index.tree.betula.features.BIRCHCF
toArray() - Method in class elki.index.tree.betula.features.VIIFeature
toArray() - Method in class elki.index.tree.betula.features.VVIFeature
toArray() - Method in class elki.index.tree.betula.features.VVVFeature
toArray() - Method in class elki.index.tree.spatial.SpatialPointLeafEntry
toArray() - Method in class elki.math.linearalgebra.Centroid
toArray() - Method in class elki.outlier.lof.ALOCI.Node
toArray() - Method in class elki.utilities.datastructures.arraylike.DoubleArray: Return a copy of the contents as array.
toArray() - Method in class elki.utilities.datastructures.arraylike.IntegerArray: Return a copy of the contents as array.
toBitset(Itemset, long[]) - Static method in class elki.itemsetmining.Itemset: Get the items.
toByteBuffer(ByteBuffer, BitVector) - Method in class elki.data.BitVector.ShortSerializer
toByteBuffer(ByteBuffer, ByteVector) - Method in class elki.data.ByteVector.ShortSerializer
toByteBuffer(ByteBuffer, ByteVector) - Method in class elki.data.ByteVector.SmallSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class elki.data.DoubleVector.ShortSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class elki.data.DoubleVector.SmallSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class elki.data.DoubleVector.VariableSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class elki.data.FloatVector.ShortSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class elki.data.FloatVector.SmallSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class elki.data.FloatVector.VariableSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class elki.data.IntegerVector.ShortSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class elki.data.IntegerVector.SmallSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class elki.data.IntegerVector.VariableSerializer
toByteBuffer(ByteBuffer, LabelList) - Method in class elki.data.LabelList.Serializer
toByteBuffer(ByteBuffer, ShortVector) - Method in class elki.data.ShortVector.ShortSerializer
toByteBuffer(ByteBuffer, ShortVector) - Method in class elki.data.ShortVector.VariableSerializer
toByteBuffer(ByteBuffer, SimpleClassLabel) - Method in class elki.data.SimpleClassLabel.Serializer
toByteBuffer(ByteBuffer, SparseByteVector) - Method in class elki.data.SparseByteVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseDoubleVector) - Method in class elki.data.SparseDoubleVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseFloatVector) - Method in class elki.data.SparseFloatVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseIntegerVector) - Method in class elki.data.SparseIntegerVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseShortVector) - Method in class elki.data.SparseShortVector.VariableSerializer
toByteBuffer(ByteBuffer, SimpleTypeInformation<?>) - Method in class elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
toByteBuffer(ByteBuffer, TypeInformation) - Method in class elki.data.type.TypeInformationSerializer
toByteBuffer(ByteBuffer, VectorFieldTypeInformation<?>) - Method in class elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
toByteBuffer(ByteBuffer, VectorTypeInformation<?>) - Method in class elki.data.type.TypeInformationSerializer.VectorTypeSerializer
toByteBuffer(ByteBuffer, DBID) - Method in class elki.database.ids.integer.IntegerDBID.DynamicSerializer
toByteBuffer(ByteBuffer, DBID) - Method in class elki.database.ids.integer.IntegerDBID.StaticSerializer
toByteBuffer(ByteBuffer, Byte) - Method in class elki.utilities.io.ByteArrayUtil.ByteSerializer: Deprecated.
toByteBuffer(ByteBuffer, Double) - Method in class elki.utilities.io.ByteArrayUtil.DoubleSerializer: Deprecated.
toByteBuffer(ByteBuffer, Float) - Method in class elki.utilities.io.ByteArrayUtil.FloatSerializer: Deprecated.
toByteBuffer(ByteBuffer, Integer) - Method in class elki.utilities.io.ByteArrayUtil.IntegerSerializer: Deprecated.
toByteBuffer(ByteBuffer, Integer) - Method in class elki.utilities.io.ByteArrayUtil.VarintSerializer: Deprecated.
toByteBuffer(ByteBuffer, Long) - Method in class elki.utilities.io.ByteArrayUtil.LongSerializer: Deprecated.
toByteBuffer(ByteBuffer, Short) - Method in class elki.utilities.io.ByteArrayUtil.ShortSerializer: Deprecated.
toByteBuffer(ByteBuffer, String) - Method in class elki.utilities.io.ByteArrayUtil.StringSerializer
toByteBuffer(ByteBuffer, T) - Method in interface elki.utilities.io.ByteBufferSerializer: Serialize the object to a byte array (e.g., disk)
toCluster(SimplifiedHierarchyExtraction.TempCluster, Clustering<DendrogramModel>) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance: Make the cluster for the given object
toggle() - Method in interface elki.visualization.VisualizationMenuToggle: Menu item was activated.
toggleAxisInverted(int) - Method in interface elki.visualization.projections.ProjectionParallel: Toggle inverted flag of axis.
toggleAxisInverted(int) - Method in class elki.visualization.projections.SimpleParallel
toggleAxisVisible(int) - Method in interface elki.visualization.projections.ProjectionParallel: Toggle visibility of the axis.
toggleAxisVisible(int) - Method in class elki.visualization.projections.SimpleParallel
toggleDimInverted(int) - Method in interface elki.visualization.projections.ProjectionParallel: Toggle inverted flag of dimension.
toggleDimInverted(int) - Method in class elki.visualization.projections.SimpleParallel
toggleTooltip(Element, String) - Method in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Toggle the Tooltip of an element.
toggleUnclusteredPairs(boolean) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
TokenizedReader - Class in elki.utilities.io: Reader that will tokenize the input data as desired.
TokenizedReader(Pattern, String, Pattern) - Constructor for class elki.utilities.io.TokenizedReader: Constructor.
tokenizer - Variable in class elki.datasource.parser.AbstractStreamingParser: Tokenizer.
tokenizer - Variable in class elki.distance.external.AsciiDistanceParser: Tokenizer.
tokenizer - Variable in class elki.utilities.io.TokenizedReader: String tokenizer.
Tokenizer - Class in elki.utilities.io: String tokenizer.
Tokenizer(Pattern, String) - Constructor for class elki.utilities.io.Tokenizer: Constructor.
toKNNList() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
toKNNList() - Method in interface elki.database.ids.KNNHeap: Serialize to a KNNList.
toKNNListSqrt() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
toKNNListSqrt() - Method in interface elki.database.ids.KNNHeap: Serialize to a KNNList, but applying sqrt to every distance.
tookDefaultValue() - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
tookDefaultValue() - Method in interface elki.utilities.optionhandling.parameters.Parameter: Checks if the default value of this parameter was taken as the actual parameter value.
tool - Variable in class elki.visualization.VisualizationTask: Flag to mark the visualizer as tool.
tool(boolean) - Method in class elki.visualization.VisualizationTask: Flag as tool visualizer.
TOOLTIP_AREA - Static variable in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_HIDDEN - Static variable in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_STICKY - Static variable in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_VISIBLE - Static variable in class elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TooltipScoreVisualization - Class in elki.visualization.visualizers.scatterplot: Generates a SVG-Element containing Tooltips.
TooltipScoreVisualization(TooltipScoreVisualization.Par) - Constructor for class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization: Constructor.
TooltipScoreVisualization.Instance - Class in elki.visualization.visualizers.scatterplot: Instance
TooltipScoreVisualization.Par - Class in elki.visualization.visualizers.scatterplot: Parameterization class.
TooltipStringVisualization - Class in elki.visualization.visualizers.scatterplot: Generates a SVG-Element containing Tooltips.
TooltipStringVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.TooltipStringVisualization: Constructor.
TooltipStringVisualization.Instance - Class in elki.visualization.visualizers.scatterplot: Instance
TooManyRetriesException - Exception in elki.utilities.exceptions: Exception thrown when too many retries were attempted.
TooManyRetriesException(String) - Constructor for exception elki.utilities.exceptions.TooManyRetriesException: Constructor.
TooManyRetriesException(String, Throwable) - Constructor for exception elki.utilities.exceptions.TooManyRetriesException: Constructor.
top - Variable in class elki.outlier.distance.HilOut.HilbertFeatures: Top candidates
TopKOutlierScaling - Class in elki.utilities.scaling.outlier: Outlier scaling function that only keeps the top k outliers.
TopKOutlierScaling(int, boolean) - Constructor for class elki.utilities.scaling.outlier.TopKOutlierScaling: Constructor.
TopKOutlierScaling.Par - Class in elki.utilities.scaling.outlier: Parameterization class.
topleft - Variable in class elki.math.geometry.FilteredConvexHull2D: Top-left point
TOPLEVEL_PACKAGE - Static variable in class elki.logging.LoggingConfiguration: Top level ELKI package (for setting 'verbose')
toplevelclusters - Variable in class elki.data.Clustering: Keep a list of top level clusters.
TOPN - elki.outlier.distance.HilOut.ScoreType: Top n scores only
TopologicalSplitter - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Encapsulates the required parameters for a topological split of a R*-Tree.
TopologicalSplitter() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter: Constructor.
TopologicalSplitter.Par - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
TopologicalSplitter.Split<A,E extends SpatialComparable> - Class in elki.index.tree.spatial.rstarvariants.strategies.split: Internal data for an actual split.
topright - Variable in class elki.math.geometry.FilteredConvexHull2D: Top-left point
toPrimitiveDoubleArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a double[].
toPrimitiveDoubleArray(A, NumberArrayAdapter<?, A>) - Static method in class elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Local copy, see ArrayLikeUtil.toPrimitiveDoubleArray.
toPrimitiveDoubleArray(NumberVector) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to double[].
toPrimitiveFloatArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a float[].
toPrimitiveFloatArray(NumberVector) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to float[].
toPrimitiveIntegerArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a int[].
toPrimitiveIntegerArray(NumberVector) - Static method in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to int[].
toPValue(double, int) - Method in class elki.math.statistics.dependence.HoeffdingsD: Convert Hoeffding D value to a p-value.
topy - Variable in class elki.math.geometry.FilteredConvexHull2D: Left bound
toString() - Method in class elki.clustering.correlation.cash.CASHInterval
toString() - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Returns a string representation of the object.
toString() - Method in class elki.clustering.dbscan.util.Border
toString() - Method in class elki.clustering.dbscan.util.Core
toString() - Method in class elki.clustering.dbscan.util.MultiBorder
toString() - Method in class elki.clustering.optics.DeLiClu.SpatialObjectPair: Returns a string representation of the object.
toString() - Method in class elki.clustering.optics.OPTICSHeapEntry: Returns a string representation of the object.
toString() - Method in class elki.clustering.optics.OPTICSXi.SteepDownArea
toString() - Method in class elki.clustering.optics.OPTICSXi.SteepUpArea
toString() - Method in class elki.clustering.silhouette.FastMSC.Record
toString() - Method in class elki.clustering.subspace.clique.CLIQUESubspace: Calls the super method and adds additionally the coverage, and the dense units of this subspace.
toString() - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Returns a string representation of this unit that contains the intervals of this unit.
toString() - Method in class elki.clustering.subspace.P3C.Signature
toString() - Method in class elki.clustering.subspace.PROCLUS.PROCLUSCluster
toString() - Method in class elki.data.Bit
toString() - Method in class elki.data.BitVector: Returns a String representation of this BitVector.
toString() - Method in class elki.data.ByteVector
toString() - Method in class elki.data.ClassLabel: Any ClassLabel requires a method to represent the label as a String.
toString() - Method in class elki.data.Cluster
toString() - Method in class elki.data.DoubleVector
toString() - Method in class elki.data.ExternalID
toString() - Method in interface elki.data.FeatureVector: Returns a String representation of the FeatureVector of V as a line that is suitable to be printed in a sequential file.
toString() - Method in class elki.data.FloatVector
toString() - Method in class elki.data.HierarchicalClassLabel: Returns a String representation of this HierarchicalClassLabel using separatorString to separate levels.
toString() - Method in class elki.data.HyperBoundingBox: Returns a String representation of the HyperBoundingBox.
toString() - Method in class elki.data.IntegerVector
toString() - Method in class elki.data.LabelList
toString() - Method in class elki.data.model.ClusterModel
toString() - Method in class elki.data.model.CoreObjectsModel
toString() - Method in class elki.data.model.DendrogramModel
toString() - Method in class elki.data.model.EMModel
toString() - Method in class elki.data.model.OPTICSModel
toString() - Method in class elki.data.model.SimplePrototypeModel
toString() - Method in class elki.data.ShortVector
toString() - Method in class elki.data.SimpleClassLabel
toString() - Method in class elki.data.SparseByteVector: Create a String representation of this SparseByteVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class elki.data.SparseDoubleVector: Create a String representation of this SparseDoubleVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class elki.data.SparseFloatVector: Create a String representation of this SparseFloatVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class elki.data.SparseIntegerVector: Create a String representation of this SparseIntegerVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class elki.data.SparseShortVector: Create a String representation of this SparseShortVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class elki.data.spatial.Polygon
toString() - Method in class elki.data.spatial.PolygonsObject
toString() - Method in class elki.data.Subspace
toString() - Method in class elki.data.type.AlternativeTypeInformation
toString() - Method in class elki.data.type.CombinedTypeInformation
toString() - Method in class elki.data.type.MultivariateSeriesTypeInformation
toString() - Method in class elki.data.type.SimpleTypeInformation
toString() - Method in class elki.data.type.VectorFieldTypeInformation
toString() - Method in class elki.data.type.VectorTypeInformation
toString() - Method in class elki.database.datastore.memory.ArrayDBIDStore
toString() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
toString() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
toString() - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
toString() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
toString() - Method in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNList
toString() - Method in class elki.database.ids.integer.DoubleIntegerDBIDPair
toString() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr
toString() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
toString() - Method in class elki.database.ids.integer.IntegerDBID.Itr
toString() - Method in class elki.database.ids.integer.IntegerDBID
toString() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
toString() - Method in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
toString() - Method in class elki.database.ids.integer.IntegerDBIDPair: Canonical toString operator
toString() - Method in class elki.database.ids.integer.IntegerDBIDRange.Itr
toString() - Method in class elki.database.ids.integer.IntegerDBIDRange
toString() - Method in class elki.database.ids.integer.IntegerDBIDVar.Itr
toString() - Method in class elki.database.ids.integer.IntegerDBIDVar
toString() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr
toString() - Method in class elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
toString() - Method in class elki.database.ids.integer.UnmodifiableIntegerDBIDs
toString() - Method in class elki.datasource.filter.AbstractConversionFilter
toString() - Method in class elki.datasource.filter.AbstractStreamFilter
toString() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
toString() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
toString() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
toString() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
toString() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
toString() - Method in class elki.distance.ArcCosineDistance
toString() - Method in class elki.distance.ArcCosineUnitlengthDistance
toString() - Method in class elki.distance.colorhistogram.HistogramIntersectionDistance
toString() - Method in class elki.distance.correlation.AbsolutePearsonCorrelationDistance
toString() - Method in class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance
toString() - Method in class elki.distance.correlation.PearsonCorrelationDistance
toString() - Method in class elki.distance.correlation.SquaredPearsonCorrelationDistance
toString() - Method in class elki.distance.correlation.SquaredUncenteredCorrelationDistance
toString() - Method in class elki.distance.correlation.UncenteredCorrelationDistance
toString() - Method in class elki.distance.correlation.WeightedPearsonCorrelationDistance
toString() - Method in class elki.distance.CosineDistance
toString() - Method in class elki.distance.CosineUnitlengthDistance
toString() - Method in class elki.distance.geo.LngLatDistance
toString() - Method in class elki.distance.histogram.HistogramMatchDistance
toString() - Method in class elki.distance.histogram.KolmogorovSmirnovDistance
toString() - Method in class elki.distance.minkowski.EuclideanDistance
toString() - Method in class elki.distance.minkowski.LPNormDistance
toString() - Method in class elki.distance.minkowski.ManhattanDistance
toString() - Method in class elki.distance.minkowski.MaximumDistance
toString() - Method in class elki.distance.minkowski.MinimumDistance
toString() - Method in class elki.distance.minkowski.SquaredEuclideanDistance
toString() - Method in class elki.distance.probabilistic.ChiDistance
toString() - Method in class elki.distance.probabilistic.ChiSquaredDistance
toString() - Method in class elki.distance.probabilistic.JeffreyDivergenceDistance
toString() - Method in class elki.distance.probabilistic.JensenShannonDivergenceDistance
toString() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance
toString() - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance
toString() - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance
toString() - Method in class elki.distance.probabilistic.TriangularDiscriminationDistance
toString() - Method in class elki.distance.probabilistic.TriangularDistance
toString() - Method in class elki.distance.RandomStableDistance
toString() - Method in class elki.distance.SqrtCosineDistance
toString() - Method in class elki.distance.SqrtCosineUnitlengthDistance
toString() - Method in class elki.evaluation.classification.ConfusionMatrix: Provides a String representation of this confusion matrix.
toString() - Method in class elki.evaluation.clustering.ClusterContingencyTable
toString() - Method in class elki.index.tree.AbstractNode: Returns a string representation of this node.
toString() - Method in class elki.index.tree.IndexTreePath: Returns a string that displays the components of this index path.
toString() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns a string representation of this M-Tree by performing a breadth first enumeration on the tree and adding the string representation of the visited nodes and their entries to the result.
toString() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Returns a string representation of this entry.
toString() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: Returns a string representation of the object.
toString() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: Returns a string representation of the object.
toString() - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
toString() - Method in class elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
toString() - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistanceEntry: Returns a string representation of the object.
toString() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree
toString() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Returns the id as a string representation of this entry.
toString() - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Returns the id as a string representation of this entry.
toString() - Method in class elki.index.tree.spatial.SpatialDirectoryEntry
toString() - Method in class elki.index.vafile.PartialVAFile.PartialVACandidate
toString() - Method in class elki.index.vafile.VectorApproximation
toString() - Method in class elki.itemsetmining.associationrules.AssociationRule
toString() - Method in class elki.itemsetmining.Itemset
toString() - Method in class elki.logging.Logging
toString() - Method in class elki.logging.progress.AbstractProgress: Returns a String representation of the progress suitable as a message for printing to the command line interface.
toString() - Method in interface elki.logging.progress.Progress: Returns a String representation of the progress suitable as a message for printing to the command line interface.
toString() - Method in class elki.logging.statistics.AbstractStatistic
toString() - Method in class elki.math.DoubleMinMax
toString() - Method in class elki.math.geodesy.AbstractEarthModel
toString() - Method in class elki.math.geometry.SweepHullDelaunay2D.Triangle
toString() - Method in class elki.math.geometry.XYCurve
toString() - Method in class elki.math.linearalgebra.pca.EigenPair: Returns a string representation of this EigenPair.
toString() - Method in class elki.math.Mean
toString() - Method in class elki.math.MeanVariance
toString() - Method in class elki.math.MeanVarianceMinMax
toString() - Method in class elki.math.scales.LinearScale
toString() - Method in class elki.math.StatisticalMoments
toString() - Method in class elki.math.statistics.distribution.BetaDistribution
toString() - Method in class elki.math.statistics.distribution.CauchyDistribution
toString() - Method in class elki.math.statistics.distribution.ChiDistribution
toString() - Method in class elki.math.statistics.distribution.ChiSquaredDistribution
toString() - Method in interface elki.math.statistics.distribution.Distribution: Describe the distribution
toString() - Method in class elki.math.statistics.distribution.estimator.CauchyMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.ExpGammaExpMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.ExponentialLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.ExponentialMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.ExponentialMedianEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.ExponentialMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GammaLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GammaMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GumbelLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.GumbelMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LaplaceLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LaplaceMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LaplaceMLEEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogisticLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogisticMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogLogisticMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.meta.BestFitEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.meta.TrimmedEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.NormalLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.NormalMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.NormalMOMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.RayleighLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.RayleighMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.RayleighMLEEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.UniformLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.UniformMADEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.UniformMinMaxEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator
toString() - Method in class elki.math.statistics.distribution.estimator.WeibullLogMADEstimator
toString() - Method in class elki.math.statistics.distribution.ExpGammaDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class elki.math.statistics.distribution.ExponentialDistribution
toString() - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
toString() - Method in class elki.math.statistics.distribution.GammaDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
toString() - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
toString() - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution
toString() - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution
toString() - Method in class elki.math.statistics.distribution.GumbelDistribution
toString() - Method in class elki.math.statistics.distribution.HaltonUniformDistribution
toString() - Method in class elki.math.statistics.distribution.InverseGaussianDistribution
toString() - Method in class elki.math.statistics.distribution.KappaDistribution
toString() - Method in class elki.math.statistics.distribution.LaplaceDistribution
toString() - Method in class elki.math.statistics.distribution.LogGammaDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class elki.math.statistics.distribution.LogisticDistribution
toString() - Method in class elki.math.statistics.distribution.LogLogisticDistribution
toString() - Method in class elki.math.statistics.distribution.LogNormalDistribution
toString() - Method in class elki.math.statistics.distribution.NormalDistribution
toString() - Method in class elki.math.statistics.distribution.PoissonDistribution
toString() - Method in class elki.math.statistics.distribution.RayleighDistribution
toString() - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
toString() - Method in class elki.math.statistics.distribution.StudentsTDistribution
toString() - Method in class elki.math.statistics.distribution.UniformDistribution
toString() - Method in class elki.math.statistics.distribution.WeibullDistribution
toString() - Method in class elki.math.statistics.MultipleLinearRegression: Returns a string representation of the object.
toString() - Method in class elki.outlier.density.HySortOD.Hypercube
toString() - Method in class elki.outlier.density.HySortOD.TreeStrategy.Node
toString() - Method in class elki.outlier.meta.HiCS.HiCSSubspace
toString() - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Individuum
toString() - Method in class elki.persistent.AbstractExternalizablePage: Returns a string representation of the object.
toString() - Method in class elki.persistent.LRUCache: Returns a string representation of this cache.
toString() - Method in class elki.projection.BarnesHutTSNE.QuadTree
toString() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
toString() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
toString() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
toString() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
toString() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
toString() - Method in class elki.utilities.datastructures.range.CombinedIntGenerator
toString() - Method in class elki.utilities.datastructures.range.ExponentialIntGenerator
toString() - Method in class elki.utilities.datastructures.range.LinearIntGenerator
toString() - Method in class elki.utilities.datastructures.range.StaticIntGenerator
toString() - Method in exception elki.utilities.io.ParseUtil.PreallocatedException
toString() - Method in class elki.utilities.optionhandling.OptionID: Returns the name of this OptionID.
toString() - Method in class elki.utilities.optionhandling.parameterization.ListParameterization.ParameterPair
toString() - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
toString() - Method in class elki.utilities.pairs.DoubleDoublePair
toString() - Method in class elki.utilities.pairs.DoubleObjPair: Canonical toString operator
toString() - Method in class elki.utilities.pairs.IntDoublePair: Returns first and second value.
toString() - Method in class elki.utilities.pairs.IntIntPair
toString() - Method in class elki.utilities.pairs.Pair: Canonical toString operator
toString() - Method in class elki.utilities.random.RandomFactory
toString() - Method in class elki.visualization.gui.overview.PlotItem
toString() - Method in class elki.visualization.projections.CanvasSize
toString() - Method in class elki.visualization.svg.SVGPath: Return the SVG serialization of the path.
toString() - Method in class elki.visualization.VisualizationTask
toString(int) - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Returns a string representation of the object with the specified offset.
toString(int) - Method in class elki.data.HierarchicalClassLabel: Create a String representation of this ClassLabel comprising only the first level levels.
toString(long) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long[], String, int) - Static method in class elki.utilities.datastructures.BitsUtil: Convert the bitset into a decimal representation, e.g., 0, 3, 5
toString(DBIDRef) - Method in interface elki.database.ids.DBIDFactory: Print a DBID as string.
toString(DBIDRef) - Static method in class elki.database.ids.DBIDUtil: Format a DBID as string.
toString(DBIDRef) - Method in class elki.database.ids.integer.AbstractIntegerDBIDFactory
toString(DBIDs) - Static method in class elki.database.ids.DBIDUtil: Format a DBID as string.
toString(String, NumberFormat) - Method in class elki.data.HyperBoundingBox: Returns a String representation of the HyperBoundingBox.
toStringLow(long) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
toStringLow(long[]) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
toStringLow(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
total - Variable in class elki.logging.progress.FiniteProgress: The overall number of items to process.
total - Variable in class elki.logging.progress.MutableProgress: The overall number of items to process.
total - Variable in class elki.result.FrequentItemsetsResult: Total number of transactions.
TOTAL_PIVOT_SEARCH - Static variable in class elki.math.linearalgebra.LinearEquationSystem: Indicates total pivot search strategy.
totalElements() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Total number of elements in this subtree.
totalInstances() - Method in class elki.evaluation.classification.ConfusionMatrix: The total number of instances covered by this confusion matrix.
totalLength - Variable in class elki.logging.progress.FiniteProgress: Holds the length of a String describing the total number.
totalLength(double[][]) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest: Total length of a set of Samples.
totalObjects - Variable in class elki.evaluation.clustering.pairsegments.Segments: Total number of objects
totalPivotSearch(int, int[]) - Method in class elki.math.linearalgebra.LinearEquationSystem: Method for total pivot search, searches for x,y in {k,...n}, so that |a_xy| > |a_ij|
totalStability() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Excess of mass measure.
totalTransactions - Variable in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance: Total number of transactions, needed by some measures.
tql2() - Method in class elki.math.linearalgebra.EigenvalueDecomposition: Symmetric tridiagonal QL algorithm.
tql2ComputeImplicitShift(int) - Method in class elki.math.linearalgebra.EigenvalueDecomposition
tql2ImplicitQL(int, int, double) - Method in class elki.math.linearalgebra.EigenvalueDecomposition
TrackedParameter - Class in elki.utilities.optionhandling.parameterization: Class containing an object, and the associated value.
TrackedParameter(Object, Parameter<?>) - Constructor for class elki.utilities.optionhandling.parameterization.TrackedParameter: Constructor.
TrackParameters - Class in elki.utilities.optionhandling.parameterization: Utility wrapper to track parameters for a configuration session.
TrackParameters(Parameterization) - Constructor for class elki.utilities.optionhandling.parameterization.TrackParameters: Constructor.
TrackParameters(Parameterization, Object) - Constructor for class elki.utilities.optionhandling.parameterization.TrackParameters: Constructor.
TrackParameters(Parameterization, Object, List<TrackedParameter>, Map<Object, Object>, Map<Object, List<Object>>) - Constructor for class elki.utilities.optionhandling.parameterization.TrackParameters: Internal constructor, for nested tracking.
TRAILING_CHARACTERS - Static variable in class elki.utilities.io.ParseUtil: Preallocated exceptions.
train(DataSet) - Method in class elki.svm.AbstractSVC
train(DataSet) - Method in class elki.svm.AbstractSVR
train(DataSet, double[]) - Method in class elki.svm.AbstractSVC
train_one(DataSet) - Method in class elki.svm.AbstractSingleSVM
training - Variable in class elki.evaluation.classification.holdout.TrainingAndTestSet: The training data.
TrainingAndTestSet - Class in elki.evaluation.classification.holdout: Wrapper to hold a pair of training and test data sets.
TrainingAndTestSet(MultipleObjectsBundle, MultipleObjectsBundle, ArrayList<ClassLabel>) - Constructor for class elki.evaluation.classification.holdout.TrainingAndTestSet: Provides a pair of training and test data sets out of the given two databases.
trans - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: The transformation matrix
trans - Variable in class elki.math.linearalgebra.AffineTransformation: the transformation matrix of dim+1 x dim+1 for homogeneous coordinates
transcode(Path, Transcoder) - Method in class elki.visualization.svg.SVGPlot: Transcode a document into a file using the given transcoder.
transfer(WritableDataStore<SameSizeKMeans.Meta>, SameSizeKMeans.Meta, ModifiableDBIDs, ModifiableDBIDs, DBIDRef, int) - Method in class tutorial.clustering.SameSizeKMeans: Transfer a single element from one cluster to another.
transfer(DBIDRef, NumberVector, int, int) - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance: Transfer a point from one cluster to another.
transform(double) - Method in class elki.distance.adapter.AbstractSimilarityAdapter.Instance: Transformation function.
transform(double) - Method in class elki.distance.adapter.ArccosSimilarityAdapter.Instance
transform(double) - Method in class elki.distance.adapter.LinearSimilarityAdapter.Instance
transform(double) - Method in class elki.distance.adapter.LnSimilarityAdapter.Instance
transform(double[]) - Method in enum elki.visualization.style.ClusterStylingPolicy.IntensityTransform: Transform the intensity values.
transform(LinearEquationSystem) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
transform(LinearEquationSystem) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
transform(LinearEquationSystem) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
transform(LinearEquationSystem) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
transform(LinearEquationSystem) - Method in interface elki.datasource.filter.normalization.Normalization: Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space.
transformOut(double) - Method in interface elki.index.tree.spatial.kd.PartialDistance: Transform a raw distance to an output (external) distance.
transformOut(double) - Method in class elki.index.tree.spatial.kd.PartialEuclideanDistance
transformOut(double) - Method in class elki.index.tree.spatial.kd.PartialLPNormDistance
transformOut(double) - Method in class elki.index.tree.spatial.kd.PartialManhattanDistance
transformOut(double) - Method in class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance
transformScores(WritableDoubleDataStore, DBIDs, double, double) - Static method in class elki.outlier.intrinsic.ISOS: Transform scores
transpose(double[]) - Static method in class elki.math.linearalgebra.VMath: Transpose vector to a matrix without copying.
transpose(double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix transpose
transposeDiagonalTimes(double[][], double[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication with diagonal, m1^T * d2 * m3
transposeTimes(double[][], double[]) - Static method in class elki.math.linearalgebra.VMath: Transposed matrix with vector multiplication, m1^T * v2
transposeTimes(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication, m1^T * m2
transposeTimes(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Vector scalar product (dot product), v1^T v2 = v1·v2 = <v1,v2>.
transposeTimes(double[], double[][]) - Static method in class elki.math.linearalgebra.VMath: Vector to matrix multiplication, v1^T m2.
transposeTimesTimes(double[], double[][], double[]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication, v1^T * m2 * v3
transposeTimesTranspose(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Matrix multiplication, m1^T * m2^T.
traversal(KDTreePruningKMeans.KDNode, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: The tree traversal algorithm.
traverseLeaf(int, int, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Traversal of a leaf (assuming alive > 1)
TREAT_NOISE_AS_SINGLETONS - elki.evaluation.clustering.internal.NoiseHandling: Consider each noise point a separate cluster
tred2() - Method in class elki.math.linearalgebra.EigenvalueDecomposition: Symmetric Householder reduction to tridiagonal form.
tred2AccumulateTransformations() - Method in class elki.math.linearalgebra.EigenvalueDecomposition
tree - Variable in class elki.gui.util.TreePopup: Tree.
tree - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: The index to use
tree - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: The index to use
tree - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNSearcher: The index to use
tree - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeSearcher: The index to use
tree - Variable in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance: The tree we visualize
tree - Variable in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance: The tree we visualize
tree - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: The tree we visualize
TREE_BORDER - Static variable in class elki.gui.util.TreePopup: Border of the popup.
TreeIndexHeader - Class in elki.index.tree: Encapsulates the header information of a tree-like index structure.
TreeIndexHeader() - Constructor for class elki.index.tree.TreeIndexHeader: Empty constructor for serialization.
TreeIndexHeader(int, int, int, int, int) - Constructor for class elki.index.tree.TreeIndexHeader: Creates a new header with the specified parameters.
TreeMBRVisualization - Class in elki.visualization.visualizers.scatterplot.index: Visualize the bounding rectangles of an R-Tree based index.
TreeMBRVisualization(TreeMBRVisualization.Par) - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization: Constructor.
TreeMBRVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in elki.visualization.visualizers.scatterplot.index: Instance for a particular tree
TreeMBRVisualization.Par - Class in elki.visualization.visualizers.scatterplot.index: Parameterization class.
TreePopup - Class in elki.gui.util: Popup menu that contains a JTree.
TreePopup() - Constructor for class elki.gui.util.TreePopup: Constructor with an empty tree model.
TreePopup(TreeModel) - Constructor for class elki.gui.util.TreePopup: Constructor.
TreePopup.Handler - Class in elki.gui.util: Event handler class.
TreePopup.Renderer - Class in elki.gui.util: Tree cell render.
TreeSphereVisualization - Class in elki.visualization.visualizers.scatterplot.index: Visualize the bounding sphere of a metric index.
TreeSphereVisualization(TreeSphereVisualization.Par) - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Constructor.
TreeSphereVisualization.Instance<N extends AbstractMTreeNode<?,N,E>,E extends MTreeEntry> - Class in elki.visualization.visualizers.scatterplot.index: Instance for a particular tree.
TreeSphereVisualization.Mode - Enum in elki.visualization.visualizers.scatterplot.index: Drawing modes.
TreeSphereVisualization.Par - Class in elki.visualization.visualizers.scatterplot.index: Parameterization class.
TreeStrategy(int) - Constructor for class elki.outlier.density.HySortOD.TreeStrategy: Constructor of the tree strategy.
tresolution - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Thumbnail resolution
trials - Variable in class elki.clustering.kmeans.BestOfMultipleKMeans: Number of trials to do.
Triangle(int, int, int) - Constructor for class elki.math.geometry.SweepHullDelaunay2D.Triangle: Constructor.
TRIANGLE_HEADER_SIZE - Static variable in class elki.persistent.OnDiskUpperTriangleMatrix: Size of this class' header
triangleSize(int) - Static method in class elki.clustering.hierarchical.ClusterDistanceMatrix: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class elki.index.distancematrix.PrecomputedDistanceMatrix: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class elki.index.distancematrix.PrecomputedSimilarityMatrix: Compute the size of a complete x by x triangle (minus diagonal).
triangleSize(int) - Static method in class elki.index.tree.betula.CFDistanceMatrix: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Compute the size of a complete x by x triangle (minus diagonal)
TRIANGULAR - elki.visualization.visualizers.visunproj.DendrogramVisualization.DrawingStyle
TRIANGULAR_MAX - elki.visualization.visualizers.visunproj.DendrogramVisualization.DrawingStyle
TriangularDiscriminationDistance - Class in elki.distance.probabilistic: Triangular Discrimination has relatively tight upper and lower bounds to the Jensen-Shannon divergence, but is much less expensive.
TriangularDiscriminationDistance() - Constructor for class elki.distance.probabilistic.TriangularDiscriminationDistance: Deprecated.
Use static instance!
TriangularDiscriminationDistance.Par - Class in elki.distance.probabilistic: Parameterization class, using the static instance.
TriangularDistance - Class in elki.distance.probabilistic: Triangular Distance has relatively tight upper and lower bounds to the (square root of the) Jensen-Shannon divergence, but is much less expensive.
TriangularDistance() - Constructor for class elki.distance.probabilistic.TriangularDistance: Deprecated.
TriangularDistance.Par - Class in elki.distance.probabilistic: Parameterization class, using the static instance.
TriangularKernelDensityFunction - Class in elki.math.statistics.kernelfunctions: Triangular kernel density estimator.
TriangularKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction: Private, empty constructor.
TriangularKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions: Parameterization stub.
TricubeKernelDensityFunction - Class in elki.math.statistics.kernelfunctions: Tricube kernel density estimator.
TricubeKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction: Private, empty constructor.
TricubeKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions: Parameterization stub.
trigamma(double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Compute the Trigamma function.
triggerSubplotSelectEvent(PlotItem) - Method in class elki.visualization.gui.overview.OverviewPlot: When a subplot was selected, forward the event to listeners.
trim - Variable in class elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Amount of data to trim.
TRIM_ID - Static variable in class elki.datasource.parser.StringParser.Par: Flag to trim whitespace.
TrimmedEstimator<D extends Distribution> - Class in elki.math.statistics.distribution.estimator.meta: Trimmed wrapper around other estimators.
TrimmedEstimator(DistributionEstimator<D>, double) - Constructor for class elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Constructor.
TrimmedMeanApproach<N> - Class in elki.outlier.spatial: A Trimmed Mean Approach to Finding Spatial Outliers.
TrimmedMeanApproach(NeighborSetPredicate.Factory<N>, double) - Constructor for class elki.outlier.spatial.TrimmedMeanApproach: Constructor.
trimWhitespace - Variable in class elki.datasource.parser.StringParser.Par: Flag to trim whitespace.
trimWhitespace - Variable in class elki.datasource.parser.StringParser: Flag to trim whitespace.
tris - Variable in class elki.math.geometry.SweepHullDelaunay2D: Triangles
TRIVAL_PIVOT_SEARCH - Static variable in class elki.math.linearalgebra.LinearEquationSystem: Indicates trivial pivot search strategy.
TrivialAllInOne - Class in elki.clustering.trivial: Trivial pseudo-clustering that just considers all points to be one big cluster.
TrivialAllInOne() - Constructor for class elki.clustering.trivial.TrivialAllInOne: Constructor.
TrivialAllNoise - Class in elki.clustering.trivial: Trivial pseudo-clustering that just considers all points to be noise.
TrivialAllNoise() - Constructor for class elki.clustering.trivial.TrivialAllNoise: Constructor.
TrivialAllOutlier - Class in elki.outlier.trivial: Trivial method that claims all objects to be outliers.
TrivialAllOutlier() - Constructor for class elki.outlier.trivial.TrivialAllOutlier: Constructor.
TrivialAverageCoordinateOutlier - Class in elki.outlier.trivial: Trivial method that takes the average of all dimensions (for one-dimensional data that is just the actual value!)
TrivialAverageCoordinateOutlier() - Constructor for class elki.outlier.trivial.TrivialAverageCoordinateOutlier: Constructor.
TrivialDBIDFactory - Class in elki.database.ids.integer: Trivial DBID management, that never reuses IDs and just gives them out in sequence.
TrivialDBIDFactory() - Constructor for class elki.database.ids.integer.TrivialDBIDFactory: Constructor.
TrivialGeneratedOutlier - Class in elki.outlier.trivial: Extract outlier score from the model the objects were generated by.
TrivialGeneratedOutlier() - Constructor for class elki.outlier.trivial.TrivialGeneratedOutlier: Constructor.
TrivialGeneratedOutlier(double) - Constructor for class elki.outlier.trivial.TrivialGeneratedOutlier: Constructor.
TrivialGeneratedOutlier.Par - Class in elki.outlier.trivial: Parameterization class.
TrivialNoOutlier - Class in elki.outlier.trivial: Trivial method that claims to find no outliers.
TrivialNoOutlier() - Constructor for class elki.outlier.trivial.TrivialNoOutlier: Constructor.
trivialPartition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit: Perform the trivial partitioning of the given list.
TriweightKernelDensityFunction - Class in elki.math.statistics.kernelfunctions: Triweight kernel density estimator.
TriweightKernelDensityFunction() - Constructor for class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction: Private, empty constructor.
TriweightKernelDensityFunction.Par - Class in elki.math.statistics.kernelfunctions: Parameterization stub.
TRUE - Static variable in class elki.data.Bit: True bit.
trueNegatives(int) - Method in class elki.evaluation.classification.ConfusionMatrix: The number of true negatives of the specified class.
trueOutliers(HilOut.HilbertFeatures) - Method in class elki.outlier.distance.HilOut: trueOutliers function updates n_star
truePositiveRate() - Method in class elki.evaluation.classification.ConfusionMatrix: Provides the true positive rate.
truePositiveRate(int) - Method in class elki.evaluation.classification.ConfusionMatrix: Provides the true positive rate for the specified class.
truePositives() - Method in class elki.evaluation.classification.ConfusionMatrix: The number of correctly classified instances.
truePositives(int) - Method in class elki.evaluation.classification.ConfusionMatrix: The number of correctly classified instances belonging to the specified class.
truncate - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par: Truncate the tree.
truncate - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory: Truncate tree at this height.
truncate - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Stop refining the tree at this size, but build a leaf.
truncate - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Truncation parameter
truncate - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory: Truncation parameter
truncate - Variable in class elki.index.tree.metrical.vptree.VPTree: Truncation parameter
truncate(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Truncate the list to the given size, freeing the memory.
TRUNCATE_ID - Static variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par: Truncate branches when they have less than this number of instances.
TRUNCATE_ID - Static variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Parameter to specify the minimum leaf size
truncateI(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Truncate a bit string to the given length (setting any higher bit to 0).
tryAlternateNames(Class<? super C>, String, ELKIServiceRegistry.Entry) - Static method in class elki.utilities.ELKIServiceRegistry: Try loading alternative names.
tryDefaultValue() - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
tryDefaultValue() - Method in interface elki.utilities.optionhandling.parameters.Parameter: Handle default values for a parameter.
tryGzipInput(InputStream) - Static method in class elki.utilities.io.FileUtil: Try to open a stream as gzip, if it starts with the gzip magic.
tryInstantiate(Class<C>) - Method in interface elki.utilities.optionhandling.parameterization.Parameterization: Try to instantiate a particular class.
tryInstantiate(Class<C>, Class<?>, Parameterization) - Static method in class elki.utilities.ClassGenericsUtil: Instantiate a parameterizable class.
tryLoadClass(String) - Static method in class elki.utilities.ELKIServiceRegistry: Attempt to load a class
TSNE<O> - Class in elki.projection: t-Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.
TSNE(AffinityMatrixBuilder<? super O>, int, double, double, int, RandomFactory, boolean) - Constructor for class elki.projection.TSNE: Constructor.
TSNE(AffinityMatrixBuilder<? super O>, int, RandomFactory) - Constructor for class elki.projection.TSNE: Constructor with default values.
TSV - elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.OutputFormat
tutorial.clustering - package tutorial.clustering: Classes from the tutorial on implementing a custom k-means variation.
tutorial.distancefunction - package tutorial.distancefunction: Classes from the tutorial on implementing distance functions.
tutorial.javaapi - package tutorial.javaapi: Examples how to invoke ELKI from Java.
tutorial.outlier - package tutorial.outlier: Tutorials on implementing outlier detection methods in ELKI.
TutorialDistance - Class in tutorial.distancefunction: Tutorial distance function example for ELKI.
TutorialDistance() - Constructor for class tutorial.distancefunction.TutorialDistance
twidth - Variable in class elki.visualization.gui.overview.RectangleArranger: Width
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.ComparableMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.ComparableMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.ComparatorMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.ComparatorMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleLongMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.IntegerMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.IntegerMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Initial size of the 2-ary heap.
twoheap - Variable in class elki.utilities.datastructures.heap.ComparableMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.ComparableMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.ComparatorMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.ComparatorMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleLongMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.IntegerMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.IntegerMinHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Base heap.
twoheap - Variable in class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Base heap.
TwoPassMultivariateGaussianModel - Class in elki.clustering.em.models: Model for a single Gaussian cluster, using two-passes for slightly better numerics.
TwoPassMultivariateGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Constructor.
TwoPassMultivariateGaussianModel(double, double[], double[][]) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Constructor.
TwoPassMultivariateGaussianModelFactory - Class in elki.clustering.em.models: Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).
TwoPassMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModelFactory: Constructor.
TWOPI - Static variable in class elki.math.MathUtil: Two times Pi.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleLongMinHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Base heap values.
twovals - Variable in class elki.utilities.datastructures.heap.IntegerObjectMinHeap: Base heap values.
type - Variable in class elki.database.relation.MaterializedRelation: The class of objects we store.
type - Variable in class elki.index.preprocessed.knn.KNNChangeEvent: Holds the type of this change event.
Type() - Constructor for enum elki.database.DatabaseEventManager.Type
Type() - Constructor for enum elki.index.preprocessed.knn.KNNChangeEvent.Type
TYPE - Static variable in class elki.data.Clustering: Type information, for relation matching.
TYPE - Static variable in interface elki.data.FeatureVector: Input type: Any feature vector type.
TYPE - Static variable in class elki.data.HierarchicalClassLabel: Type information.
TYPE - Static variable in interface elki.data.model.Model: Type information, for relation selection.
TYPE - Static variable in class elki.data.SimpleClassLabel: Type information.
TYPE - Static variable in class elki.distance.strings.LevenshteinDistance: Input data type.
TypeInformation - Interface in elki.data.type: Class wrapping a particular data type.
TypeInformationSerializer - Class in elki.data.type: Class to handle the serialization and deserialization of type information.
TypeInformationSerializer() - Constructor for class elki.data.type.TypeInformationSerializer
TypeInformationSerializer.SimpleTypeSerializer - Class in elki.data.type: Serialization class for pure simple types.
TypeInformationSerializer.VectorFieldTypeSerializer - Class in elki.data.type: Serialization class for field vector types.
TypeInformationSerializer.VectorTypeSerializer - Class in elki.data.type: Serialization class for non-field vector types.
typeRequest(Class<? super V>) - Static method in class elki.data.type.MultivariateSeriesTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>) - Static method in class elki.data.type.VectorFieldTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>) - Static method in class elki.data.type.VectorTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>, int, int) - Static method in class elki.data.type.VectorFieldTypeInformation: Constructor for a type request with dimensionality constraints.
typeRequest(Class<? super V>, int, int) - Static method in class elki.data.type.VectorTypeInformation: Constructor for a type request with dimensionality constraints.
types - Variable in exception elki.data.type.NoSupportedDataTypeException: Available types
TypeUtil - Class in elki.data.type: Utility package containing various common types.
TypeUtil() - Constructor for class elki.data.type.TypeUtil: Fake Constructor.

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