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

T

t - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: LPNorm p parameter
t - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer: Dimensionality.
t - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The axes intercept.
t - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression
t1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer: Threshold for inclusion
t1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering: Threshold for inclusion
T1_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer: Parameter for the inclusion threshold of canopy clustering.
t2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer: Threshold for removal
t2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering: Threshold for removal
T2_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer: Parameter for the removal threshold of canopy clustering.
T_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer: Parameter to specify p of LP-NormDistance
T_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer: Target dimensionality.
table - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity: Precompute sinus and cosinus
table - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure: Precompute sinus and cosinus
table - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: The JTable
TABPOS - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure
TABVAL - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure
TAG_CLIP - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Clipping
TAG_CLUSTER - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Cluster tag
TAG_DATASET - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Dataset tag
TAG_GAMMA - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Gamma distribution
TAG_HALTON - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Halton pseudo uniform distribution.
TAG_NORMAL - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Normal distribution
TAG_POINT - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Point in static cluster
TAG_ROTATE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Rotation
TAG_SIMPLE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer: Tag for simple type.
TAG_STATIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Static cluster
TAG_TRANSLATE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Translation
TAG_UNIFORM - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Uniform distribution
TAG_VECTOR - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer: Tag for non-field vector type.
TAG_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer: Tag for vector field type.
tailingNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Count the tailing non-newline characters.
tailingNonNewline(char[], int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Count the tailing non-newline characters.
tailingNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger: Count the tailing non-newline characters.
TARGET - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity: Desired size: 35 observations.
TARGET - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure: Desired size: 35 observations.
task - Variable in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication.Parameterizer: The KDD Task to perform.
task - Variable in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication: The KDD Task to perform.
task - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress: The task name.
task - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: The visualization task we do.
taskmap - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Map from tasks to visualizations.
tasks - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: The visualization tasks at this location
taskSize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Number of tasks in this item.
tau - Variable in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer
tau - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Holds the value of CLIQUE.TAU_ID.
TAU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings.Parameterizer: 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 de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: 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.
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer: Target dimensionality.
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter: The dimensionality to which the data should be reduced.
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer: Target dimensionality.
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Target dimensionality
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer: Target dimensionality.
tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Target dimensionality
TermFrequencyParser<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser: A parser to load term frequency data, which essentially are sparse vectors with text keys.
TermFrequencyParser(boolean, CSVReaderFormat, long[], SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser: Constructor.
TermFrequencyParser.Parameterizer<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parameterization class.
TermFrequencyParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer
test - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet: The test data.
test(DBIDRefIter) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DBIDsTest
test(AbstractVectorIter) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.VectorOverThreshold
test(IncreasingVectorIter) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.VectorZero
test(T) - Method in interface de.lmu.ifi.dbs.elki.evaluation.scores.ScoreEvaluation.Predicate: Test a result.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AllOrNoneMustBeSetGlobalConstraint: Checks if either all elements of a list of parameters are set, or none of them.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualSizeGlobalConstraint: Checks if the list parameters have equal list sizes.
test(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualStringConstraint: Checks if the given string value of the string parameter is equal to one of the constraint strings.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalListSizeConstraint: Checks is the size of the list parameter is equal to the constraint list size specified.
test() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalParameterConstraint: Checks if the respective parameters satisfy the parameter constraint.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalVectorListElementSizeConstraint: Checks if the dimensions of each vector of the vector list parameter have the appropriate size provided by the integer parameter.
test(Number) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualConstraint: Checks if the number value given by the number parameter is less equal than the constraint value.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualGlobalConstraint: Checks if the value of the first number parameter is less equal than the value of the second number parameter.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessGlobalConstraint: Checks if the value of the first number parameter is less than the value of the second number parameter.
test(int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachConstraint
test(List<T>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListParameterNoDuplicateValueConstraint: Checks if the elements of the list of parameter values do have different values.
test(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint: Checks if the list parameter fulfills the size constraint.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint: Checks if the elements of the list of number parameters do have different values.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OneMustBeSetGlobalConstraint: Checks if at least one parameter value of the list of parameters specified is set.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OnlyOneIsAllowedToBeSetGlobalConstraint: Checks if only one parameter of a list of parameters is set.
test(T) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterConstraint: Checks if the value t of the parameter to be tested fulfills the parameter constraint.
test() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint: Checks the parameter for its parameter constraints dependent on the status of the given flag.
test(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint: Checks if the given string value of the string parameter is within the length restrictions.
TEST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer: Parameter that specifies which statistical test to use in order to calculate the deviation of two given data samples.
testAgainstModel - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain: Controls whether points are tested against the model during generation.
testAgainstModel - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Set testAgainstModel flag
testClipping(Vector) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Test if a point is to be clipped
testClockwise() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Test polygon orientation.
testFit(double[], double[], Distribution) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator: Test the quality of a fit.
testLoggingRate() - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress: Logging rate control.
testMergeable(CSSClassManager) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Check whether or not CSS classes of two plots can be merged
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Test (and perform) downsampling when neede.
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Test (and perform) downsampling when neede.
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram: Test (and perform) downsampling when neede.
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram: Test (and perform) downsampling when neede.
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram: Test (and perform) downsampling when neede.
testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram: Test (and perform) downsampling when neede.
testStrings - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualStringConstraint: Constraint-strings.
TEXT_COLOR - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Text color
TEXT_SIZE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Text size
textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator: Text field to store the name
textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator: Text field to store the name
textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator: Text field to store the name
textfield - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: Text field to store the name
textfield - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor: Text field to store the name
TextParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator: Provide a configuration panel to input an arbitrary text parameter.
TextParameterConfigurator(Parameter<?>, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.TextParameterConfigurator
TextWriteable - Interface in de.lmu.ifi.dbs.elki.result.textwriter: Interface for objects providing a text serialization suitable for human reading and storage in CSV files.
TextWriter - Class in de.lmu.ifi.dbs.elki.result.textwriter: Class to write a result to human-readable text output.
TextWriter() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
TextWriterDoubleDoublePair - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write a pair
TextWriterDoubleDoublePair() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterDoubleDoublePair
TextWriterIgnore - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Ignore the given object when serializing to text.
TextWriterIgnore() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterIgnore
TextWriterObjectArray<T> - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write an object into the inline section, using the objects toString method.
TextWriterObjectArray() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectArray
TextWriterObjectComment - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write an object into the comments section, using the objects toString() method.
TextWriterObjectComment() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectComment
TextWriterObjectInline - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write an object into the inline section, using the objects toString method.
TextWriterObjectInline() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectInline
TextWriterPair - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write a pair
TextWriterPair() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterPair
TextWriterStream - Class in de.lmu.ifi.dbs.elki.result.textwriter: Representation of an output stream to a text file.
TextWriterStream(PrintStream, HandlerList<TextWriterWriterInterface<?>>) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream: Constructor.
TextWriterTextWriteable - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write an object, using the objects own TextWriteable interface.
TextWriterTextWriteable() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterTextWriteable
TextWriterVector - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers: Write an object into the inline section, using the objects toString method.
TextWriterVector() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterVector
TextWriterWriterInterface<O> - Class in de.lmu.ifi.dbs.elki.result.textwriter: Base class for object writers.
TextWriterWriterInterface() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterWriterInterface
theight - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Height
theoreticalBaseline - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical baseline
theoreticalBaseline - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore: Theoretical baseline specified by the algorithm.
theoreticalMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical maximum
theoreticalMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta: Store the theoretical minimum
theta - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer: C parameter, theta parameter
theta - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction: Scaling factor c, bias theta
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer: Parameters.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Theta == 1 / Beta
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer: Parameters.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: Theta == 1 / Beta.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer: Parameters.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: Theta == 1 / Beta.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer: Parameters.
theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: Shift offset.
theta - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling: Gamma parameter theta
THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer: Theta parameter: bias
THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer: Theta parameter.
thirdReference() - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction: Dummy method, just to attach a third reference.
THREAD - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread: The static thumbnail thread.
THREAD_REPAINT_DEBUG - Static variable in class de.lmu.ifi.dbs.elki.gui.GUIUtil: Enable thread repaint debugging.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer: Threshold
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation: Threshold
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer: Threshold level.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy: Threshold for extracting clusters.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN.Parameterizer: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate: The relative amount of epsilon-close pairings determined by the neighborcheck.
threshold - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer: Threshold to use
threshold - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering: Thresholds to use
threshold - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.VectorOverThreshold: Threshold
THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve: Simplification threshold
THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot: Simplification threshold
threshold - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: Active threshold
THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer: Global significance threshold
THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer: The threshold level for which to extract the clustering.
THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer: Threshold for epsilon-neighborhood, defaults to 0.5.
THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer: Parameter to specify the threshold Key: -thresholdclust.threshold
thresholdmode - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer: Threshold mode.
THROBBER_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Throbber path.
THROBBER_STYLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Throbber style.
thumb - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Our thumbnail (keep a reference to prevent garbage collection!)
thumbid - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: The thumbnail id.
ThumbnailRegistryEntry - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Access images via an internal image registry.
ThumbnailRegistryEntry() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: Constructor.
ThumbnailRegistryEntry.InternalParsedURLData - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: URL representation for internal URLs.
ThumbnailRegistryEntry.InternalParsedURLData(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry.InternalParsedURLData: Constructor.
ThumbnailThread - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs: Thread to render thumbnails in the background.
ThumbnailThread() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread
ThumbnailThread.Listener - Interface in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs: Listener interface for completed thumbnails.
ThumbnailThread.Task - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs: A single thumbnailer task.
ThumbnailThread.Task(ThumbnailThread.Listener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread.Task: Constructor.
ThumbnailTranscoder - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: Transcode images to in-memory thumbnails.
ThumbnailTranscoder() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailTranscoder: Constructor.
ThumbnailVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs: Thumbnail visualization.
ThumbnailVisualization(VisFactory, VisualizationTask, VisualizationPlot, double, double, Projection, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Constructor.
TiedTopBoundedHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: A size-limited heap similar to TopBoundedHeap, discarding elements with the highest value.
TiedTopBoundedHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap: Constructor with comparator.
TiedTopBoundedHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap: Constructor for Comparable objects.
TiedTopBoundedHeap.UnorderedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Unordered heap iterator class.
TiedTopBoundedHeap.UnorderedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap.UnorderedIter: Constructor.
TiedTopBoundedUpdatableHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: A size-limited heap similar to TopBoundedHeap, discarding elements with the highest value.
TiedTopBoundedUpdatableHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap: Constructor with comparator.
TiedTopBoundedUpdatableHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap: Constructor for Comparable objects.
tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter
tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter
tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter
tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter
tiedToPrevious() - Method in interface de.lmu.ifi.dbs.elki.evaluation.scores.ScoreEvaluation.ScoreIter: Test whether the score is the same as the previous objects score.
ties - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: List to track ties.
ties - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap: List to keep ties in.
ties - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap: List to keep ties in.
time - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer: Enable logging of performance data
TIME_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer: Flag to allow verbose messages while running the application.
TIME_UNIT_DIGITS - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: The number of digits used for formatting
TIME_UNIT_NAMES - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: The strings used in serialization
TIME_UNIT_SIZES - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: The time unit sizes: ms, s, m, h, d; all in ms.
times(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Multiply a matrix by a scalar, C = s*A
times(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A * B
times(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A * B
times(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a new vector which is the result of this vector multiplied by the specified scalar.
times(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, A * B.
times(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 * s1
times(double[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Matrix multiplication: v1 * m2
times(double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Multiply a matrix by a scalar, m3 = s1*m1
times(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1 * m2
times(double[][], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1 * v2
times - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: StyleParameter:
timesEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Multiply a matrix by a scalar in place, A = s*A
timesEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Multiply a matrix by a scalar in place, A = s*A.
timesEquals(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 * s1, overwriting v1
timesEquals(double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Multiply a matrix by a scalar in place, m1 = s1 * m1
timesMinus(double[], double, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 * s1 - v2
timesMinusEquals(double[], double, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 * s1 - v2, overwriting v1
timesMinusTimes(double[], double, double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 * s1 - v2 * s2
timesMinusTimesEquals(double[], double, double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 * s1 - v2 * s2, overwriting v1
timesPlus(double[], double, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 * s1 + v2
timesPlusEquals(double[], double, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 * s1 + v2, overwriting v1
timesPlusTimes(double[], double, double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 * s1 + v2 * s2
timesPlusTimesEquals(double[], double, double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 * s1 + v2 * s2, overwriting v1
timesTranspose(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A * B^T
timesTranspose(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, A * B^T.
timesTranspose(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, A * B^T.
timesTranspose(double[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, v1 * m2^T
timesTranspose(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, v1 * v2^T
timesTranspose(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1 * m2^T
Title - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation: Simple interface to provide a nicer title for the class.
title - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer: Stores the set title.
title - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Stores the set title.
title - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton: Button title, optional
titlecss - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton: Title styling
tmpcomp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Sort object by the temporary fields.
tmpcomp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Sort object by the temporary fields.
tmpCorrelation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Temporary storage of correlation values.
tmpCorrelation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Temporary storage of correlation values.
tmpDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Temporary storage of distances.
tmpDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Temporary storage of distances.
tmpIds - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance: Temporary ids.
tmpIds - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Temporary ids.
tmpPreferenceVectors - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance: Temporary storage for new preference vectors.
tn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer: Scores to report: all or top-n only
tn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: Reporting mode: exact (top n) only, or all
TN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer: Parameter to specify if only the Top n, or also approximations for the other elements, should be returned
toArray(Collection<T>, Class<B>) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Convert a collection to an array.
toArray() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray: Return a copy of the contents as array.
toByteBuffer(ByteBuffer, BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer
toByteBuffer(ByteBuffer, ByteVector) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer
toByteBuffer(ByteBuffer, ByteVector) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer
toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.VariableSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer
toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.VariableSerializer
toByteBuffer(ByteBuffer, LabelList) - Method in class de.lmu.ifi.dbs.elki.data.LabelList.Serializer
toByteBuffer(ByteBuffer, ShortVector) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer
toByteBuffer(ByteBuffer, ShortVector) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.VariableSerializer
toByteBuffer(ByteBuffer, SimpleClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Serializer
toByteBuffer(ByteBuffer, SparseByteVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseDoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseIntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.VariableSerializer
toByteBuffer(ByteBuffer, SparseShortVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.VariableSerializer
toByteBuffer(ByteBuffer, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
toByteBuffer(ByteBuffer, TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer
toByteBuffer(ByteBuffer, VectorFieldTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
toByteBuffer(ByteBuffer, VectorTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorTypeSerializer
toByteBuffer(ByteBuffer, DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer
toByteBuffer(ByteBuffer, DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer
toByteBuffer(ByteBuffer, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.ShortSerializer
toByteBuffer(ByteBuffer, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.SmallSerializer
toByteBuffer(ByteBuffer, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.VariableSerializer
toByteBuffer(ByteBuffer, Byte) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer: Deprecated.
toByteBuffer(ByteBuffer, Double) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.DoubleSerializer: Deprecated.
toByteBuffer(ByteBuffer, Float) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.FloatSerializer: Deprecated.
toByteBuffer(ByteBuffer, Integer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.IntegerSerializer: Deprecated.
toByteBuffer(ByteBuffer, Long) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.LongSerializer: Deprecated.
toByteBuffer(ByteBuffer, Short) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ShortSerializer: Deprecated.
toByteBuffer(ByteBuffer, String) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.StringSerializer
toByteBuffer(ByteBuffer, Integer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.VarintSerializer: Deprecated.
toByteBuffer(ByteBuffer, T) - Method in interface de.lmu.ifi.dbs.elki.utilities.io.ByteBufferSerializer: Serialize the object to a byte array (e.g. disk)
toCluster(Clustering<DendrogramModel>, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Make the cluster for the given object
toggle() - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationMenuToggle: Menu item was activated.
toggleAxisInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Toggle inverted flag of axis.
toggleAxisInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
toggleAxisVisible(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Toggle visibility of the axis.
toggleAxisVisible(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
toggleDimInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel: Toggle inverted flag of dimension.
toggleDimInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
toggleTooltip(Element, String) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Toggle the Tooltip of an element.
toggleUnclusteredPairs(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
TokenizedReader - Class in de.lmu.ifi.dbs.elki.utilities.io: Reader that will tokenize the input data as desired.
TokenizedReader(Pattern, String, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.TokenizedReader: Constructor.
tokenizer - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser: Tokenizer.
tokenizer - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser: Tokenizer.
tokenizer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.TokenizedReader: String tokenizer.
Tokenizer - Class in de.lmu.ifi.dbs.elki.utilities.io: String tokenizer.
Tokenizer(Pattern, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer: Constructor.
toKNNList() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
toKNNList() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
toKNNList() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
toKNNList() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Serialize to a KNNList.
tookDefaultValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
tookDefaultValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Checks if the default value of this parameter was taken as the actual parameter value.
tool - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: Flag to mark the visualizer as tool.
TOOLTIP_AREA - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_HIDDEN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_STICKY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TOOLTIP_VISIBLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization: Generic tag to indicate the type of element.
TooltipScoreVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Generates a SVG-Element containing Tooltips.
TooltipScoreVisualization(TooltipScoreVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization: Constructor.
TooltipScoreVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Instance
TooltipScoreVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance: Constructor
TooltipScoreVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Parameterization class.
TooltipScoreVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer
TooltipStringVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Generates a SVG-Element containing Tooltips.
TooltipStringVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization: Constructor.
TooltipStringVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Instance
TooltipStringVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance: Constructor.
top - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures: Top candidates
TopBoundedHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Heap class that is bounded in size from the top.
TopBoundedHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap: Constructor with maximum size only.
TopBoundedHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap: Constructor with maximum size and Comparator.
TopBoundedUpdatableHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Heap class that is bounded in size from the top.
TopBoundedUpdatableHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap: Constructor with maximum size only.
TopBoundedUpdatableHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap: Constructor with maximum size and Comparator.
TopKOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Outlier scaling function that only keeps the top k outliers.
TopKOutlierScaling(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling: Constructor.
TopKOutlierScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Parameterization class.
TopKOutlierScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling.Parameterizer
TOPLEVEL_PACKAGE - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Top level ELKI package (for setting 'verbose')
toplevelclusters - Variable in class de.lmu.ifi.dbs.elki.data.Clustering: Keep a list of top level clusters.
TopologicalSplitter - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Encapsulates the required parameters for a topological split of a R*-Tree.
TopologicalSplitter() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter: Constructor.
TopologicalSplitter.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Parameterization class.
TopologicalSplitter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Parameterizer
TopologicalSplitter.Split<A,E extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split: Internal data for an actual split.
TopologicalSplitter.Split(A, ArrayAdapter<E, A>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Constructor.
toPrimitiveDoubleArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a double[].
toPrimitiveDoubleArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a list of numbers to double[].
toPrimitiveDoubleArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to double[].
toPrimitiveFloatArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a float[].
toPrimitiveFloatArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a list of numbers to float[].
toPrimitiveFloatArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to float[].
toPrimitiveIntegerArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a numeric array-like to a int[].
toPrimitiveIntegerArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a list of numbers to int[].
toPrimitiveIntegerArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil: Convert a number vector to int[].
toPValue(double, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure: Convert Hoeffding D value to a p-value.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Returns a String representation of the HyperBoundingBox.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction: Returns a string representation of the object.
toString(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction: Returns a string representation of the object with the specified offset.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepDownArea
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepUpArea
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEInterval: Returns a string representation of this interval.
toString(String) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Calls the super method and adds additionally the coverage, and the dense units of this subspace.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Returns a string representation of this unit that contains the intervals of this unit.
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace
toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum
toString() - Method in class de.lmu.ifi.dbs.elki.data.Bit
toString() - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns a String representation of this BitVector.
toString() - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
toString() - Method in class de.lmu.ifi.dbs.elki.data.ClassLabel: Any ClassLabel requires a method to represent the label as a String.
toString() - Method in class de.lmu.ifi.dbs.elki.data.Cluster
toString() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
toString() - Method in class de.lmu.ifi.dbs.elki.data.ExternalID
toString() - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.FloatVector
toString() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: Returns a String representation of this HierarchicalClassLabel using separatorString to separate levels.
toString(int) - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: Create a String representation of this ClassLabel comprising only the first level levels.
toString() - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox: Returns a String representation of the HyperBoundingBox.
toString(String, NumberFormat) - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox: Returns a String representation of the HyperBoundingBox.
toString() - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
toString() - Method in class de.lmu.ifi.dbs.elki.data.LabelList
toString() - Method in class de.lmu.ifi.dbs.elki.data.model.ClusterModel
toString() - Method in class de.lmu.ifi.dbs.elki.data.model.CoreObjectsModel
toString() - Method in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
toString() - Method in class de.lmu.ifi.dbs.elki.data.model.OPTICSModel
toString() - Method in class de.lmu.ifi.dbs.elki.data.ShortVector
toString() - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel: Returns a new instance of the String covered by this SimpleClassLabel.
toString() - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector: Create a String representation of this SparseByteVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector: Create a String representation of this SparseDoubleVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Create a String representation of this SparseFloatVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector: Create a String representation of this SparseIntegerVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector: Create a String representation of this SparseShortVector as suitable for SparseNumberVectorLabelParser .
toString() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
toString() - Method in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject
toString() - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns a string representation of this subspace by calling Subspace.toString() with an empty prefix.
toString(String) - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns a string representation of this subspace that contains the given string prefix and the dimensions of this subspace.
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation
toString() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
toString(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Print a DBID as string.
toString(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Format a DBID as string.
toString(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Format a DBID as string.
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
toString(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNList
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair: Canonical toString operator
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
toString() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix
toString() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides a String representation of this confusion matrix.
toString() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry: Returns the id as a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry: Returns the id as a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Returns a string representation of this node.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath: Returns a string that displays the components of this index path.
toString() - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Returns a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Returns a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Returns the id as a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.DistanceEntry: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Returns a string representation of this R*-Tree.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Returns the id as a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Returns the id as a string representation of this entry.
toString() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate
toString() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
toString() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
toString() - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.logging.statistics.AbstractStatistic
toString() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
toString() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
toString() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
toString() - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
toString() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenPair: Returns a string representation of this EigenPair.
toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: toString returns String-representation of Matrix.
toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs: Returns a string representation of this EigenPair.
toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a string representation of this vector.
toString() - Method in class de.lmu.ifi.dbs.elki.math.Mean
toString() - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
toString() - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
toString() - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution
toString() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution: Describe the distribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractExpMADEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLMMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMADEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractLogMOMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMADEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.AbstractMOMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaChoiWetteEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMLEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMOMEstimator
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: Simple toString explaining the distribution parameters.
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage: Returns a string representation of the object.
toString() - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache: Returns a string representation of this cache.
toString(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in high-endian order.
toString(long[], String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert the bitset into a decimal representation, e.g.
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoublePriorityObject
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: Returns the name of this OptionID.
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair: Canonical toString operator
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair: Returns first and second value.
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Canonical toString operator
toString() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem
toString() - Method in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize
toString() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Return the SVG serialization of the path.
toString() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
toStringLow(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
toStringLow(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
toStringLow(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Convert bitset to a string consisting of "0" and "1", in low-endian order.
toStringNoWhitespace() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a string representation of this vector without adding extra whitespace.
total - Variable in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress: The overall number of items to process.
total - Variable in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress: The overall number of items to process.
TOTAL_PIVOT_SEARCH - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Indicates total pivot search strategy.
totalElements() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Total number of elements in this subtree.
totalInstances() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The total number of instances covered by this confusion matrix.
totalLength - Variable in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress: Holds the length of a String describing the total number.
totalLength(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest: Total length of a set of Samples.
totalObjects - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments: Total number of objects
totalPivotSearch(int) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Excess of mass measure.
toVector(Relation<? extends F>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Get the data as vector.
tql2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
trace() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Matrix trace.
TrackedParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Class containing an object, and the associated value.
TrackedParameter(Object, Parameter<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackedParameter: Constructor.
TrackParameters - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Utility wrapper to track parameters for a configuration session.
TrackParameters(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Constructor.
TrackParameters(Parameterization, Object) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Constructor.
TrackParameters(Parameterization, Object, List<TrackedParameter>, Map<Object, Object>, Map<Object, List<Object>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Internal constructor, for nested tracking.
TRAILING_CHARACTERS - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Preallocated exceptions.
training - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet: The training data.
TrainingAndTestSet - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout: Wrapper to hold a pair of training and test data sets.
TrainingAndTestSet(MultipleObjectsBundle, MultipleObjectsBundle, ArrayList<ClassLabel>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet: Provides a pair of training and test data sets out of the given two databases.
trans - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: The transformation matrix
trans - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: The transformation matrix of dim+1 x dim+1 for homogeneous coordinates
transcode(File, Transcoder) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Transcode a document into a file using the given transcoder.
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AbstractStreamNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
transform(LinearEquationSystem) - Method in interface de.lmu.ifi.dbs.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.
transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance: Transformation function.
transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Instance
transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Instance
transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Instance
transpose() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Matrix transpose.
transpose(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Transpose vector to a matrix.
transpose(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Matrix transpose
transposeTimes(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A^T * B
transposeTimes(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A^T * B
transposeTimes(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, A^T * B.
transposeTimes(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, A^T * B.
transposeTimes(double[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, v1^T * m2
transposeTimes(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, v1^T * v2
transposeTimes(double[][], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1^T * v2
transposeTimes(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1^T * m2
transposeTimesTimes(Matrix, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Linear algebraic matrix multiplication, a^T * B * c.
transposeTimesTimes(double[], double[][], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, a^T * B * c
transposeTimesTranspose(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Linear algebraic matrix multiplication, A^T * B^T.
transposeTimesTranspose(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Linear algebraic matrix multiplication, m1^T * m2^T.
tred2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
tree - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup: Tree.
tree - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery: The index to use
tree - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeQuery: The index to use
tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance: The tree we visualize
tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance: The tree we visualize
tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: The tree we visualize
TREE_BORDER - Static variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup: Border of the popup.
TreeIndexHeader - Class in de.lmu.ifi.dbs.elki.index.tree: Encapsulates the header information of a tree-like index structure.
TreeIndexHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Empty constructor for serialization.
TreeIndexHeader(int, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: Creates a new header with the specified parameters.
TreeMBRVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Visualize the bounding rectangles of an R-Tree based index.
TreeMBRVisualization(TreeMBRVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization: Constructor.
TreeMBRVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Instance for a particular tree
TreeMBRVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance: Constructor.
TreeMBRVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Parameterization class.
TreeMBRVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Parameterizer
TreePopup - Class in de.lmu.ifi.dbs.elki.gui.util: Popup menu that contains a JTree.
TreePopup() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup: Constructor with an empty tree model.
TreePopup(TreeModel) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup: Constructor.
TreePopup.Handler - Class in de.lmu.ifi.dbs.elki.gui.util: Event handler class.
TreePopup.Handler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
TreePopup.Renderer - Class in de.lmu.ifi.dbs.elki.gui.util: Tree cell render.
TreePopup.Renderer() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer: Constructor.
TreeSphereVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Visualize the bounding sphere of a metric index.
TreeSphereVisualization(TreeSphereVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization: Constructor.
TreeSphereVisualization.Instance<N extends AbstractMTreeNode<?,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Instance for a particular tree.
TreeSphereVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: Constructor
TreeSphereVisualization.Modus - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Drawing modes.
TreeSphereVisualization.Modus() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Modus
TreeSphereVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index: Parameterization class.
TreeSphereVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Parameterizer
tresolution - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Thumbnail resolution
trials - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer: Number of trials to perform.
trials - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans: Number of trials to do.
TRIALS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer: Parameter to specify the iterations of the bisecting step.
TRIANGLE_HEADER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Size of this class' header
triangleSize(int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES: Compute the size of a complete x by x triangle (minus diagonal)
triangleSize(int) - Static method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix: Compute the size of a complete x by x triangle (minus diagonal)
TriangularKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Triangular kernel density estimator.
TriangularKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction: Private, empty constructor.
TriangularKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Parameterization stub.
TriangularKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction.Parameterizer
TricubeKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Tricube kernel density estimator.
TricubeKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction: Private, empty constructor.
TricubeKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Parameterization stub.
TricubeKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction.Parameterizer
trigamma(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Compute the Trigamma function.
triggerSubplotSelectEvent(PlotItem) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: When a subplot was selected, forward the event to listeners.
trim - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer: Amount of data to trim.
trim - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Amount of data to trim.
TRIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer: Flag to trim whitespace.
TRIM_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer: Option for specifying the amount of data to trim.
TrimmedEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta: Trimmed wrapper around other estimators.
TrimmedEstimator(DistributionEstimator<D>, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator: Constructor.
TrimmedEstimator.Parameterizer<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta: Parameterization class.
TrimmedEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer
TrimmedMeanApproach<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: A Trimmed Mean Approach to Finding Spatial Outliers.
TrimmedMeanApproach(NeighborSetPredicate.Factory<N>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach: Constructor.
TrimmedMeanApproach.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Parameterizer.
TrimmedMeanApproach.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer
trimWhitespace - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer: Flag to trim whitespace.
trimWhitespace - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser: Flag to trim whitespace.
tris - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: Triangles
TRIVAL_PIVOT_SEARCH - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Indicates trivial pivot search strategy.
TrivialAllInOne - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial: Trivial pseudo-clustering that just considers all points to be one big cluster.
TrivialAllInOne() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllInOne: Constructor.
TrivialAllNoise - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial: Trivial pseudo-clustering that just considers all points to be noise.
TrivialAllNoise() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise: Constructor.
TrivialAllOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial: Trivial method that claims all objects to be outliers.
TrivialAllOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAllOutlier: Constructor.
TrivialAverageCoordinateOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAverageCoordinateOutlier: Constructor.
TrivialDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Trivial DBID management, that never reuses IDs and just gives them out in sequence.
TrivialDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory: Constructor.
TrivialGeneratedOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial: Extract outlier score from the model the objects were generated by.
TrivialGeneratedOutlier(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier: Constructor.
TrivialGeneratedOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier: Constructor.
TrivialGeneratedOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial: Parameterization class.
TrivialGeneratedOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier.Parameterizer
TrivialNoOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial: Trivial method that claims to find no outliers.
TrivialNoOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialNoOutlier: Constructor.
trivialPartition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit: Perform the trivial partitioning of the given list.
TriweightKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Triweight kernel density estimator.
TriweightKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction: Private, empty constructor.
TriweightKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions: Parameterization stub.
TriweightKernelDensityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction.Parameterizer
TROVE_HASH_STRATEGY - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Hashing strategy to use with Trove.
TroveHashSetModifiableDBIDs - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Implementation using GNU Trove Int Hash Sets.
TroveHashSetModifiableDBIDs(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs: Constructor.
TroveHashSetModifiableDBIDs() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs: Constructor.
TroveHashSetModifiableDBIDs(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs: Constructor.
TroveHashSetModifiableDBIDs.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Iterator over trove hashs.
TroveHashSetModifiableDBIDs.Itr(TIntHash) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr: Constructor.
TroveHashSetModifiableDBIDs.Itr.TIntHashItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer: Custom iterator over TIntHash.
TroveHashSetModifiableDBIDs.Itr.TIntHashItr(TIntHash) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr.TIntHashItr: Constructor.
TRUE - Static variable in class de.lmu.ifi.dbs.elki.data.Bit: True bit.
trueNegatives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The number of true negatives of the specified class.
trueOutliers(HilOut<O>.HilbertFeatures) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut: trueOutliers function updates n_star
truePositiveRate() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the true positive rate.
truePositiveRate(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the true positive rate for the specified class.
truePositives() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The number of correctly classified instances.
truePositives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: The number of correctly classified instances belonging to the specified class.
truncate(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList: Truncate the list to the given size, freeing the memory.
truncate() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
truncate - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer: Truncate the tree.
truncate - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory: Truncate tree at this height.
truncate - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree: Stop refining the tree at this size, but build a leaf.
TRUNCATE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer: Truncate branches when they have less than this number of instances.
truncateI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Truncate a bit string to the given length (setting any higher bit to 0).
tryDefaultValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
tryDefaultValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Handle default values for a parameter.
tryGzipInput(InputStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.FileUtil: Try to open a stream as gzip, if it starts with the gzip magic.
tryInstantiate(Class<C>, Class<?>, Parameterization) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Instantiate a parameterizable class.
tryInstantiate(Class<C>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
tryInstantiate(Class<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization
tryInstantiate(Class<C>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
tryInstantiate(Class<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
tryInstantiate(Class<C>, Class<?>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Try to instantiate a particular class.
tryInstantiate(Class<C>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Try to instantiate a particular class.
tryInstantiate(Class<C>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
tryInstantiate(Class<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
tryInstantiate(Class<C>, Class<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
tryInstantiate(Class<C>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
tryLoadClass(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry: Attempt to load a class
twidth - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Width
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Initial size of the 2-ary heap.
TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap: Initial size of the 2-ary heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Base heap.
twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap: Base heap.
TWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Two times Pi.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap: Base heap values.
twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap: Base heap values.
TYPE - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: Type information.
type - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation: The class of objects we store.
type - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent: Holds the type of this change event.
TypeInformation - Interface in de.lmu.ifi.dbs.elki.data.type: Class wrapping a particular data type.
TypeInformationSerializer - Class in de.lmu.ifi.dbs.elki.data.type: Class to handle the serialization and deserialization of type information.
TypeInformationSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer
TypeInformationSerializer.SimpleTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type: Serialization class for pure simple types.
TypeInformationSerializer.SimpleTypeSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
TypeInformationSerializer.VectorFieldTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type: Serialization class for field vector types.
TypeInformationSerializer.VectorFieldTypeSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer
TypeInformationSerializer.VectorTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type: Serialization class for non-field vector types.
TypeInformationSerializer.VectorTypeSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorTypeSerializer
typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation: Constructor for a type request with dimensionality constraints.
typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation: Constructor for a type request without dimensionality constraints.
typeRequest(Class<? super V>, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation: Constructor for a type request with dimensionality constraints.
types - Variable in exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException: Available types
TypeUtil - Class in de.lmu.ifi.dbs.elki.data.type: Utility package containing various common types.
TypeUtil() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Fake Constructor.

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