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

Overview

Package

Class

Use

Tree

Deprecated

Index

Help

PREV LETTER NEXT LETTER

FRAMES NO FRAMES

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 _

P

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection: Holds the value of DBOutlierDetection.P_ID.
p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer
p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach: the parameter p
p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer: Percentile parameter p
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction: Keeps the currently set p.
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction.Parameterizer: The value of p.
p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Parameter p.
p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory: Parameter p.
p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory.Parameterizer: Parameter p.
p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression: The order of the polynom.
p - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeSphereVisualization
P1DHistogramVisualizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d: Generates a SVG-Element containing a histogram representing the distribution of the database's objects.
P1DHistogramVisualizer(VisualizationTask, boolean, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer: Constructor.
P1DHistogramVisualizer.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d: Visualizer factory for 1D histograms
P1DHistogramVisualizer.Factory(boolean, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory: Constructor.
P1DHistogramVisualizer.Factory.Parameterizer<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d: Parameterization class.
P1DHistogramVisualizer.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory.Parameterizer
P1DVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d: One-dimensional projected visualization.
P1DVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DVisualization: Constructor.
P2DVisualization<NV extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Default class to handle 2D projected visualizations.
P2DVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.P2DVisualization: Constructor.
P_HIGH - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Treshold for switching nethods for erfinv approximation
P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection: Parameter to specify the minimum fraction of objects that must be outside the D- neighborhood of an outlier
P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer: Parameter for the percentile value p
P_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction: OptionID for the "p" parameter
P_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory: Parameter for p
P_LOW - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Treshold for switching nethods for erfinv approximation
pad(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Pad a string to a given length by adding whitespace to the right.
padRightAligned(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Pad a string to a given length by adding whitespace to the left.
Page - Interface in de.lmu.ifi.dbs.elki.persistent: Defines the requirements for objects that can be stored in a cache and can be persistently saved.
PAGE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Page
PAGE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory: Parameter to specify the size of a page in bytes, must be an integer greater than 0.
pageclass - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: The type of pages we use.
PageFile<P extends Page> - Interface in de.lmu.ifi.dbs.elki.persistent: Page file interface.
PageFileStatistics - Interface in de.lmu.ifi.dbs.elki.persistent: Statistics API for a Page File.
PageFileUtil - Class in de.lmu.ifi.dbs.elki.persistent: Page file statistic utility functions.
PageFileUtil() - Constructor for class de.lmu.ifi.dbs.elki.persistent.PageFileUtil
PageHeader - Interface in de.lmu.ifi.dbs.elki.persistent: Defines the requirements for a header of a persistent page file.
pageSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory: Holds the value of TreeIndexFactory.PAGE_SIZE_ID.
pageSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexFactory.Parameterizer
pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile: The size of a page in Bytes.
pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: The size of a page in bytes.
pageToByteArray(P) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Serializes an object into a byte array.
pageToByteArray(P) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Serializes an object into a byte array.
Pair<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Generic SimplePair class.
Pair(FIRST, SECOND) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Initialize pair
PairCountingFMeasure - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting: Compare two clustering results using a pair-counting F-Measure.
PairCountingFMeasure() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure
PairGeneratorMerge - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator: Merge the output of multiple generators.
PairGeneratorMerge(PairSortedGeneratorInterface[]) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorMerge: Set up merging generator.
PairGeneratorNoise - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator: Generator for noise points.
PairGeneratorNoise(Cluster<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise: Crate new generator for a base cluster object.
PairGeneratorSingleCluster - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator: Generate sorted ID pairs for a Cluster.
PairGeneratorSingleCluster(Cluster<?>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster: Generate pairs for a hierarchical cluster.
PairInterface<FIRST,SECOND> - Interface in de.lmu.ifi.dbs.elki.utilities.pairs: Pair interface.
PairSortedGenerator - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator: Implement the common functionality of caching the current result in a base class.
PairSortedGenerator() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator
PairSortedGeneratorInterface - Interface in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator: Pair generator interface.
PairUtil - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Utility functions for (boxed) Pair classes.
PairUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil
PairUtil.Compare<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Compare two SimplePairs based on two comparators
PairUtil.Compare(Comparator<? super FIRST>, Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.Compare: Provides a comparator for an Pair based on the given Comparator for type P.
PairUtil.CompareByFirst<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Compare two SimplePairs based on a comparator for the first component.
PairUtil.CompareByFirst(Comparator<? super FIRST>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareByFirst: Provides a comparator for an Pair based on the given Comparator for type P.
PairUtil.CompareBySecond<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Compare two SimplePairs based on a comparator for the second component.
PairUtil.CompareBySecond(Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareBySecond: Provides a comparator for an Pair based on the given Comparator for type P.
PairUtil.CompareNatural<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Class to do a "natural order" comparison on this class.
PairUtil.CompareNatural() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNatural
PairUtil.CompareNaturalFirst<FIRST extends Comparable<? super FIRST>,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Class to do a natural comparison on this class' first component.
PairUtil.CompareNaturalFirst() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalFirst
PairUtil.CompareNaturalSecond<FIRST,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Class to do a natural comparison on this class' second component.
PairUtil.CompareNaturalSecond() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSecond
PairUtil.CompareNaturalSwapped<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Class to do a canonical swapped comparison on this class.
PairUtil.CompareNaturalSwapped() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSwapped
PairUtil.CompareSwapped<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Compare two SimplePairs based on two comparators, but by second component first.
PairUtil.CompareSwapped(Comparator<? super FIRST>, Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareSwapped: Provides a comparator for an Pair based on the given Comparator for type P.
palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer: The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
panel - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator: We need a panel to put our components on.
panel - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator: The panel to store the components
panel - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: We need a panel to put our components on.
panel - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor: We need a panel to put our components on.
param - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator: The parameter to configure
param - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
param - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint: Parameter possibly to be checked.
Parameter<S,T extends S> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Abstract class for specifying a parameter.
Parameter(OptionID, List<ParameterConstraint<S>>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, constraints, and default value.
Parameter(OptionID, List<ParameterConstraint<S>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, constraints, and optional flag.
Parameter(OptionID, List<ParameterConstraint<S>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, and constraints.
Parameter(OptionID, ParameterConstraint<S>, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, constraint, and default value.
Parameter(OptionID, ParameterConstraint<S>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, constraint, and optional flag.
Parameter(OptionID, ParameterConstraint<S>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID, and constraint.
Parameter(OptionID, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID and default value.
Parameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID and optional flag.
Parameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Constructs a parameter with the given optionID.
ParameterConfigurator - Interface in de.lmu.ifi.dbs.elki.gui.configurator
ParameterConstraint<T> - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Interface for specifying parameter constraints.
ParameterException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling: Abstract super class for all exceptions thrown during parameterization.
ParameterException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.ParameterException
ParameterException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.ParameterException
ParameterFlagGlobalConstraint<S,C extends S> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Global parameter constraint describing the dependency of a parameter ( Parameter) on a given flag (Flag).
ParameterFlagGlobalConstraint(Parameter<S, C>, List<ParameterConstraint<S>>, Flag, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint: Constructs a global parameter constraint specifying that the testing of the parameter given for keeping the parameter constraints given is dependent on the status of the flag given.
Parameterizable - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling: Interface to define the required methods for command line interaction.
Parameterization - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Interface for object parameterizations.
ParameterizationFunction - Class in de.lmu.ifi.dbs.elki.data: A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction(Double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction(List<Double>) - Constructor for class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction.ExtremumType - Enum in de.lmu.ifi.dbs.elki.data: Available types for the global extremum.
ParameterizationFunction.ExtremumType() - Constructor for enum de.lmu.ifi.dbs.elki.data.ParameterizationFunction.ExtremumType
ParameterizationFunctionLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser: Provides a parser for parsing one point per line, attributes separated by whitespace.
ParameterizationFunctionLabelParser(Pattern, char) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ParameterizationFunctionLabelParser: Constructor.
ParameterizationFunctionLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parameterization class.
ParameterizationFunctionLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ParameterizationFunctionLabelParser.Parameterizer
parameterizeOrAbort(Class<?>, Parameterization) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil: Force parameterization method.
Parameterizer - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling: Generic interface for a parameterizable factory.
parameterList - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AllOrNoneMustBeSetGlobalConstraint: List of parameters to be checked
parameterNamesAndValuesToString(List<N>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Returns a string representation of the list of number parameters containing the names and the values of the parameters.
parameters - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Parameter storage
parameters - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters: Parameter storage
parameters - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel: Parameter storage
parameters - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: The parameters we edit.
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualSizeGlobalConstraint: List parameters to be tested
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint: List of number parameters to be checked.
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OneMustBeSetGlobalConstraint: List of parameters to be checked.
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OnlyOneIsAllowedToBeSetGlobalConstraint: List of parameters to be checked.
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization: The actual parameters, for storage
parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization: Parameter storage
ParametersModel - Class in de.lmu.ifi.dbs.elki.gui.util: A Swing TableModel that uses a DynamicParameters object as storage.
ParametersModel(DynamicParameters) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParametersModel: Constructor
parameterTable - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: The parameter table
parameterTable - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: The parameter table
ParameterTable - Class in de.lmu.ifi.dbs.elki.gui.util: Class showing a table of ELKI parameters.
ParameterTable(ParametersModel, DynamicParameters) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable: Constructor
ParameterTable.AdjustingEditor - Class in de.lmu.ifi.dbs.elki.gui.util: This Editor will adjust to the type of the Option: Sometimes just a plain text editor, sometimes a ComboBox to offer known choices, and sometime a file selector dialog.
ParameterTable.AdjustingEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: Constructor.
ParameterTable.ClassListEditor - Class in de.lmu.ifi.dbs.elki.gui.util: Editor for selecting input and output file and folders names
ParameterTable.ClassListEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: Constructor.
ParameterTable.ClassListEditor.SuperPopup - Class in de.lmu.ifi.dbs.elki.gui.util: Modified popup
ParameterTable.ClassListEditor.SuperPopup(JComboBox) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor.SuperPopup: Constructor.
ParameterTable.ColorfulRenderer - Class in de.lmu.ifi.dbs.elki.gui.util: Renderer for the table that colors the entries according to their bitmask.
ParameterTable.ColorfulRenderer() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ColorfulRenderer: Constructor.
ParameterTable.DropdownEditor - Class in de.lmu.ifi.dbs.elki.gui.util: Editor using a Dropdown box to offer known values to choose from.
ParameterTable.DropdownEditor(JComboBox) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DropdownEditor: Constructor.
ParameterTable.FileNameEditor - Class in de.lmu.ifi.dbs.elki.gui.util: Editor for selecting input and output file and folders names
ParameterTable.FileNameEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor: Constructor.
ParameterTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels: Abstract panel, showing particular options.
ParameterTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Input pane
params - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Parameters to use in fitting
paramstry - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: More working buffers
parent - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance: Parent distance
parent - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance: Our parent distance function
parent - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator: The parent container
parent(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Compute parent index in heap array.
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList.DBIDView: The true list.
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.KNNList.DistanceView: The true list.
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.iterator.IterableIteratorAdapter: Parent Iterable
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.iterator.TypeFilterIterator: Parent iterator
parent - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: Parent node to append to.
parent - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisFactory.CurveFilter: Parent iterator to use
parentDistance - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Parameterizer: The distance function to determine the exact distance.
parentDistance - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance: The distance function to determine the exact distance.
parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: The distance from the routing object of this entry to its parent's routing object.
parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: The distance from the underlying data object to its parent's routing object.
parentids - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster: Ids in parent clusters
parentiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList.ItrAnc: Iterator over parents
parentiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists.ItrAnc: Iterator over parents
parentPath - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath: Path representing the parent, null if lastPathComponent represents the root.
parents - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyReferenceLists: Storage for parents
parents - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Tree information: parent links
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.DistanceParser: Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelTransposingParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberDistanceParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ParameterizationFunctionLabelParser
parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.Parser: Returns a list of the objects parsed from the specified input stream.
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseBitVectorLabelParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseFloatVectorLabelParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
parseAttributeStatements(BufferedReader, ArrayList<String>, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Parse the "@attribute" section of the ARFF file.
parseBitSet(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new BitSet initialized to the values represented by the specified String only containing 0 and 1 values.
parseBitSet(char[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new BitSet initialized to the values represented by the specified char array only containing '0' and '1' values.
parseDebugParameter(StringParameter) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Parse the option string to configure logging.
parseDoubles(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new Double array initialized to the values represented by the specified String and separated by comma, as performed by the valueOf method of class Double.
parseFloats(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a new Float array initialized to the values represented by the specified String and separated by comma, as performed by the valueOf method of class Float.
parseLine(String) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.LinebasedParser: Parse a single line into a database object
parseLine(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
parseLine(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: Parse a single line.
parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Internal method for parsing a single line.
parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseFloatVectorLabelParser
parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
parser - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer
parser - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: Holds the instance of the parser.
Parser - Interface in de.lmu.ifi.dbs.elki.datasource.parser: A Parser shall provide a ParsingResult by parsing an InputStream.
parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer
parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer
PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection: Parameter to specify the parser to provide a database.
PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
parseSelectedBits(BitSet, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Returns a string that represents the selected bits of the specified BitSet, while the first bit starts with 1.
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
parseString(String) - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance: Provides a measurement suitable to this measurement function based on the given pattern.
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance: As pattern is required a String defining a Double.
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance: As pattern is required a String defining a Float.
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance: Provides a distance suitable to this DistanceFunction based on the given pattern.
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.VectorListParameter: Parse a given value into the destination type.
parseVector(String) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Parse a string into a vector.
partition(List<T>, int, int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk.BulkSplit: Partitions the specified feature vectors
partition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk.MaxExtensionBulkSplit: Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.
partition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk.ZCurveBulkSplit: Partitions the specified feature vectors
PARTITION_ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Parameter to specify the clustering algorithm to apply to each partition, must extend ClusteringAlgorithm.
PARTITION_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Parameter to specify the distance function to use inside the partitions AbstractIndexBasedDistanceFunction .
partitionAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Get the algorithm to run on each partition.
partitionAlgorithmParameters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Holds the parameters of the algorithm to run on each partition.
PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
PartitionApproximationMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Constructor
PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: The parameterizable factory.
PartitionApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Constructor.
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Parameterization class.
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer
partitionDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Holds the instance of the preprocessed distance function COPAC.PARTITION_DISTANCE_ID.
partitionDistanceQuery - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: The last used distance query
partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer
partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: The number of partitions to use
partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Number of partitions to use.
PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Parameter to specify the number of partitions to use for materializing the kNN.
PATH_ARC_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) path arc command.
PATH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) cubic line to command.
PATH_HORIZONTAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) horizontal line to command.
PATH_JSON - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer: The base path we serve data from
PATH_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) line to command.
PATH_MOVE_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) move command.
PATH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) quadratic interpolation to command.
PATH_SMOOTH_CUBIC_TO - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The absolute "smooth cubic to" SVG path command (missing from SVGConstants).
PATH_SMOOTH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) smooth cubic to command.
PATH_SMOOTH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) smooth quadratic interpolation to command.
PATH_VERTICAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: The lower case version (relative) vertical line to command.
pathByAddingChild(TreeIndexPathComponent<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath: Returns a new path containing all the elements of this object plus child.
pathComponent - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.Enlargement: The path information of the entry representing the node.
pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer: Stores the "outlier" class.
pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier: The pattern we match with.
pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.FilterByLabelFilter.Parameterizer: The pattern configured.
pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.FilterByLabelFilter: The filter pattern
PatternParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a pattern.
PatternParameter(OptionID, List<ParameterConstraint<Pattern>>, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, List<ParameterConstraint<Pattern>>, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, List<ParameterConstraint<Pattern>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, List<ParameterConstraint<Pattern>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, ParameterConstraint<Pattern>, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, ParameterConstraint<Pattern>, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, ParameterConstraint<Pattern>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, ParameterConstraint<Pattern>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, constraints and default value.
PatternParameter(OptionID, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, and default value.
PatternParameter(OptionID, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, and default value.
PatternParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID.
PatternParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID.
pbarmap - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Current progress bars
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: The PCA utility object.
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Holds the object performing the pca.
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer: PCA utility object.
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory: PCA utility object.
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex: PCA utility object.
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory.Parameterizer: The Filtered PCA Runner
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory: The Filtered PCA Runner
pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex: The Filtered PCA Runner
PCA_COVARIANCE_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder.
PCA_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory: Parameter to specify the distance function used for running PCA.
PCA_EIGENPAIR_FILTER - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
PCABasedCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Provides the correlation distance for real valued vectors.
PCABasedCorrelationDistanceFunction(IndexFactory<NumberVector<?, ?>, FilteredLocalPCAIndex<NumberVector<?, ?>>>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Constructor
PCABasedCorrelationDistanceFunction.Instance<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: The actual instance bound to a particular database.
PCABasedCorrelationDistanceFunction.Instance(Relation<V>, FilteredLocalPCAIndex<V>, double, PCABasedCorrelationDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance: Constructor.
PCABasedCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Parameterization class.
PCABasedCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer
PCACorrelationDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue: The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
PCACorrelationDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance: Empty constructor for serialization purposes.
PCACorrelationDistance(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance: Constructs a new CorrelationDistance object consisting of the specified correlation value and euclidean value.
pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer: Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.
pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory: Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.
PCAFilteredResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Result class for a filtered PCA.
PCAFilteredResult(SortedEigenPairs, FilteredEigenPairs, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: Construct a result object for the filtered PCA result.
PCAFilteredRunner<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: PCA runner that will do dimensionality reduction.
PCAFilteredRunner(CovarianceMatrixBuilder<V>, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Constructor.
PCAFilteredRunner.Parameterizer<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
PCAFilteredRunner.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer
pcaParameters(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC: Returns the parameters for the PCA for the specified correlation dimension.
pcaresult - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel: The computed PCA result of this cluster.
PCAResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Result class for Principal Component Analysis with some convenience methods
PCAResult(double[], Matrix, SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult: Build a PCA result object.
PCAResult(SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult: Build a PCA result from an existing set of EigenPairs.
PCARunner<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Class to run PCA on given data.
PCARunner(CovarianceMatrixBuilder<V>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Constructor.
PCARunner.Parameterizer<V extends NumberVector<? extends V,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
PCARunner.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer
pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer
pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: Keeps the currently set pDelta.
PDELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: PDELTA parameter
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.GammaDistribution: Gamma distribution PDF (with 0.0 for x < 0)
pdistI - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer
pearsonCorrelationCoefficient(NumberVector<?, ?>, NumberVector<?, ?>) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Provides the Pearson product-moment correlation coefficient for two FeatureVectors.
pearsonCorrelationCoefficient(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Provides the Pearson product-moment correlation coefficient for two FeatureVectors.
PearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Pearson correlation distance function for feature vectors.
PearsonCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction: Deprecated. Use static instance!
PearsonCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation: Parameterization class.
PearsonCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction.Parameterizer
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
pendingRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization: Pending redraw
pendingRefresh - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Pending refresh, for lazy refreshing
pendingThumbnail - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Pending redraw
pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer
pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: Keeps the currently set pEpsilon.
PEPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: PEPSILON parameter
percentage - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder.Parameterizer
percentage - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder: Holds the value of KNNDistanceOrder.PERCENTAGE_ID.
PERCENTAGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder: Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.
PercentageEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The PercentageEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.
PercentageEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter: Constructor.
PercentageEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
PercentageEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer
perimeter(SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil: Computes the perimeter of this SpatialComparable.
permutePivot(IntIntPair, IntIntPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: permutes two matrix rows and two matrix columns
PersistentPageFile<P extends Page> - Class in de.lmu.ifi.dbs.elki.persistent: A PersistentPageFile stores objects persistently that implement the Page interface.
PersistentPageFile(int, String, Class<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Creates a new PersistentPageFile from an existing file.
phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier.Parameterizer
phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier: The number of partitions for each dimension
phi(double) - Static method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution: Standardized Gaussian PDF
phi(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution: Gaussian distribution PDF
PHI_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier: OptionID for the grid size
pi - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK: The values of the function Pi of the pointer representation.
piv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Internal storage of pivot vector.
pivotOperation(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: performs a pivot operation
pivsign - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Row and column dimensions, and pivot sign.
PixmapResult - Interface in de.lmu.ifi.dbs.elki.result: Result encapsulating a single image.
PixmapVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Visualize an arbitrary pixmap result.
PixmapVisualizer(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer: Constructor.
PixmapVisualizer.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Factory class for pixmap visualizers.
PixmapVisualizer.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Factory: Constructor, adhering to Parameterizable
plaintextEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: The plain text cell editor
plot - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas: Current SVG plot.
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: The plot (for ID updates).
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The Optics plot.
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector: OPTICS plot image
PLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Plot
plotForClusterOrder(ClusterOrderResult<D>, VisualizerContext) - Static method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: Static method to find an optics plot for a result, or to create a new one using the given context.
plotheight - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization: Height of plot (in display units)
PlotItem - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Item to collect visualization tasks on a specific position on the plot map.
PlotItem(double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Constructor.
PlotItem(double, double, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Constructor.
PlotItem.ItmItr - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Recursive iterator
PlotItem.ItmItr() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr: Constructor.
PlotItem.VisItr - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Recursive iterator
PlotItem.VisItr() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.VisItr: Constructor.
plotlayer - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Layer for plot thumbnail
plotmap - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Map of coordinates to plots.
plotMarker(SVGPlot, Element, double, double, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Draw an marker used in scatter plots.
plotSeries(DBID, int) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow: Plot a single time series.
plotwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization: Width of plot (in display units)
plus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic: Adds the given number to this number.
plus(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns a bit vector corresponding to an XOR operation on this and the specified bit vector.
plus(DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
plus(FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
plus(IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
plus(V) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns a new NumberVector of V that is the sum of this NumberVector of V and the given NumberVector of V.
plus(OneDimensionalDoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
plus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
plus(SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
plus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
plus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance: Returns a new distance as sum of this distance and the given distance.
plus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
plus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
plus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
plus(PCACorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
plus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
plus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
plus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A + B
plus(M) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixLike: C = A + B
plus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a new vector which is the result of this vector plus the specified vector.
plusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + B
plusEquals(M) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixLike: A = A + B
plusEquals(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: A = A + B
plusEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Add a constant value to all dimensions.
plusTimes(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A + s * B
plusTimes(M, double) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixLike: C = A + s*B
plusTimes(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns a new vector which is the result of this vector plus the specified vector times the given factor.
plusTimesEquals(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + s * B
plusTimesEquals(M, double) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixLike: C = A + s*B
plusTimesEquals(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: A = A + s * B
pmap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList: The data storage for parents
points - Variable in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: The actual points
points - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: The generated cluster points.
points - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic: Cluster points
points - Variable in class de.lmu.ifi.dbs.elki.math.ConvexHull2D: The current set of points
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
Polygon - Class in de.lmu.ifi.dbs.elki.data.spatial: Class representing a simple polygon.
Polygon(List<Vector>) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Constructor.
Polygon(List<Vector>, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.Polygon
POLYGON_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: Polygon separator
POLYGON_TYPE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Type for polygons
polygons - Variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject: The polygons
POLYGONS - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Polygons style
PolygonsObject - Class in de.lmu.ifi.dbs.elki.data.spatial: Object representation consisting of (multiple) polygons.
PolygonsObject(Collection<Polygon>) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject: Constructor.
PolygonVisualization<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Renders PolygonsObject in the data set.
PolygonVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization: Constructor.
PolygonVisualization.Factory - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: The visualization factory
PolygonVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization.Factory: Constructor
PolynomialApproximation - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: Provides an polynomial approximation bo + b1*k + b2*k^2 + ... + bp*k^p for knn-distances consisting of parameters b0, ..., bp.
PolynomialApproximation() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: Empty constructor for serialization purposes.
PolynomialApproximation(double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: Provides an polynomial approximation bo + b1*k + b2*k^2 + ... + bp*k^p for knn-distances consisting of parameters b0, ..., bp.
PolynomialKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
PolynomialKernelFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Constructor.
PolynomialKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Parameterization class.
PolynomialKernelFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
PolynomialRegression - Class in de.lmu.ifi.dbs.elki.math.statistics: A polynomial fit is a specific type of multiple regression.
PolynomialRegression(Vector, Vector, int) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression: Provides a new polynomial regression model with the specified parameters.
POLYS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization: Generic tag to indicate the type of element.
popup - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator: The popup menu.
popup - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: The popup menu.
port - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer: Our port
port - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler: Listen port
PORT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer: Port to use for listening
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvItr: Next unset position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.Itr: Next position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.InvItr: Next unset position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList.Itr: Next position.
pos1 - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster: Position in first set
pos2 - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster: Position in second set
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram: The object pattern to identify positive classes Key: -comphist.positive
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores: The distance function to determine the reachability distance between database objects.
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve: The pattern to identify positive classes.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.Parameterizer: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve.Parameterizer
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve: Stores the "positive" class.
postDelete(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Performs necessary operations after deleting the specified entry.
PrecomputedKNearestNeighborNeighborhood<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood: Neighborhoods based on k nearest neighbors.
PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood: Constructor.
PrecomputedKNearestNeighborNeighborhood.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood: Factory class to instantiate for a particular relation.
PrecomputedKNearestNeighborNeighborhood.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory: Factory Constructor
PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood: Parameterization class
PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
predecessorID - Variable in class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry: The id of the entry's predecessor.
predecessorID - Variable in class de.lmu.ifi.dbs.elki.result.optics.GenericClusterOrderEntry: The id of the entry's predecessor.
PreDeCon<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: PreDeCon computes clusters of subspace preference weighted connected points.
PreDeCon(DoubleDistance, int, LocallyWeightedDistanceFunction<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon: Constructor.
PreDeCon.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
PreDeCon.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer
PreDeConSubspaceIndex<V extends NumberVector<? extends V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj: Preprocessor for PreDeCon local dimensionality and locally weighted matrix assignment to objects of a certain database.
PreDeConSubspaceIndex(Relation<V>, D, DistanceFunction<V, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex: Constructor.
PreDeConSubspaceIndex.Factory<V extends NumberVector<? extends V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj: Factory
PreDeConSubspaceIndex.Factory(D, DistanceFunction<V, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory: Constructor.
PreDeConSubspaceIndex.Factory.Parameterizer<V extends NumberVector<? extends V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj: Parameterization class.
PreDeConSubspaceIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer
PreferenceVectorBasedCorrelationDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue: A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.
PreferenceVectorBasedCorrelationDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance: Empty constructor for serialization purposes.
PreferenceVectorBasedCorrelationDistance(int, int, double, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance: Constructs a new CorrelationDistance object.
PreferenceVectorIndex<NV extends NumberVector<?,?>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Interface for an index providing preference vectors.
PreferenceVectorIndex.Factory<V extends NumberVector<?,?>,I extends PreferenceVectorIndex<V>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Factory interface
prefix - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Prefix for the IDs generated.
prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.Thumbnailer: Prefix storage.
preInsert(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Performs necessary operations before inserting the specified entry.
preInsert(MkAppEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
preInsert(MkCoPEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
preInsert(MkMaxEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Adapts the knn distances before insertion of the specified entry.
preInsert(MkMaxEntry<D>, MkMaxEntry<D>, KNNHeap<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Adapts the knn distances before insertion of entry q.
preInsert(MkTabEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
preInsert(MTreeEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree: Does nothing because no operations are necessary before inserting an entry.
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling
prepare(OutlierResult) - Method in interface de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction: Prepare is called once for each data set, before getScaled() will be called.
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: Complete the initialization phase
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.InverseDocumentFrequencyNormalization
prepareProcessInstance(I) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: Process a single object during initialization.
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization
prepareProcessInstance(SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.InverseDocumentFrequencyNormalization
prepareStart(SimpleTypeInformation<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter: Return "true" when the normalization needs initialization (two-pass filtering!)
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractRandomFeatureSelectionFilter
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseMinMaxNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AttributeWiseVarianceNormalization
prepareStart(SimpleTypeInformation<SparseFloatVector>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.InverseDocumentFrequencyNormalization
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: Perform the preprocessing step.
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor: The actual preprocessing step.
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex: Preprocessing step.
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex: Preprocessing step.
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Preprocessing step.
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex: Preprocessing step.
preprocessor - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery: The last preprocessor result
preprocessor - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery: The last preprocessor result
PREPROCESSOR_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC: Parameter to specify the local PCA preprocessor to derive partition criterion, must extend AbstractFilteredPCAIndex.
PREPROCESSOR_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: The preprocessor used to materialize the kNN neighborhoods.
PreprocessorKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.knn: Instance for a particular database, invoking the preprocessor.
PreprocessorKNNQuery(Relation<O>, MaterializeKNNPreprocessor<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery: Constructor.
PreprocessorKNNQuery(Relation<O>, MaterializeKNNPreprocessor.Factory<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery: Constructor.
PreprocessorRKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.rknn: Instance for a particular database, invoking the preprocessor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery: Constructor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor.Factory<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery: Constructor.
preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling
preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling: Normalize data if necessary.
PrettyMarkers - Class in de.lmu.ifi.dbs.elki.visualization.style.marker: Marker library achieving a larger number of styles by combining different shapes with different colors.
PrettyMarkers(String, StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Constructor
PrettyMarkers(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Constructor without prefix argument, will use PrettyMarkers.DEFAULT_PREFIX as prefix.
previous() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator
previous() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator
previousIndex() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.ReverseListIterator
previousIndex() - Method in class de.lmu.ifi.dbs.elki.utilities.iterator.UnmodifiableListIterator
PrimitiveDistanceFunction<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Primitive distance function that is defined on some kind of object.
PrimitiveDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance: Run a database query in a database context.
PrimitiveDistanceQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery: Constructor.
PrimitiveDistanceSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance: Combination query class, for convenience.
PrimitiveDistanceSimilarityQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O, D>, PrimitiveSimilarityFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery: Constructor.
PrimitiveDoubleDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Interface for distance functions that can provide a raw double value.
primitiveKernelFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD.Parameterizer
primitiveKernelFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD: Store the configured Kernel version
PrimitiveSimilarityFunction<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction: Interface SimilarityFunction describes the requirements of any similarity function.
PrimitiveSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity: Run a database query in a database context.
PrimitiveSimilarityQuery(Relation<? extends O>, PrimitiveSimilarityFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery: Constructor.
print(List<O>, String, PrintStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Prints the given list to the specified PrintStream.
printDescription(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Print the description for the given parameter
printErrorMessage(Exception) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Print an error message for the given error.
println(StringBuffer, int, String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Simple writing helper with no indentation.
printObject(TextWriterStream, Database, DBID, List<Relation<?>>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
printSettings(TextWriterStream, List<SettingsResult>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter: Writes a header providing information concerning the underlying database and the specified parameter-settings.
priority() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Returns the priority of this interval (used as key in the heap).
priority - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject: Priority.
privateReconfigureLogging(String, String) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Reconfigure logging.
ProbabilisticOutlierScore - Class in de.lmu.ifi.dbs.elki.result.outlier: Outlier score that is a probability value in the range 0.0 - 1.0 But the baseline may be different from 0.0!
ProbabilisticOutlierScore() - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore: Default constructor.
ProbabilisticOutlierScore(double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore: Constructor with baseline only.
ProbabilisticOutlierScore(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore: Constructor with actual values, and a baseline of 0.0
ProbabilisticOutlierScore(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore: Full constructor.
probClusterIGivenX - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Store the individual probabilities, for use by EMOutlierDetection etc.
process(double[], double, double, KernelDensityFunction, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator: Process a new array
PROCESS_STOP - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
processColumnTypes(ArrayList<String>, ArrayList<String>, int[], TypeInformation[], int[]) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Process the column types (and names!)
processCovarMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Process an existing Covariance Matrix
processCovarMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Process an existing covariance Matrix
processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processDatabase(Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a complete database
processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on the complete database
processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder: Compute Covariance Matrix for a complete database
processDataPages(DistanceQuery<V, D>, N, N, WritableDataStore<KNNHeap<D>>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin: Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.
processed - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress: The number of items already processed at a time being.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Holds a set of processed ids.
processElementClipping(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'clipping' Element in the XML stream.
processElementCluster(Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'cluster' Element in the XML stream.
processElementDataset(Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'dataset' Element in the XML stream.
processElementGamma(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'gamma' Element in the XML stream.
processElementNormal(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'normal' Element in the XML stream.
processElementPoint(LinkedList<Vector>, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Parse a 'point' element (point vector for a static cluster)
processElementRotate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'rotate' Element in the XML stream.
processElementStatic(Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'static' cluster Element in the XML stream.
processElementTranslate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'translate' Element in the XML stream.
processElementUniform(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'uniform' Element in the XML stream.
processEVD(EigenvalueDecomposition) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Process an existing eigenvalue decomposition
processEVD(EigenvalueDecomposition) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Process an existing eigenvalue decomposition
processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processIds(DBIDs, Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a collection of database IDs
processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Run PCA on a collection of database IDs
processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on a collection of database IDs
processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder: Compute Covariance Matrix for a collection of database IDs
processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Weighted Covariance Matrix for a set of IDs.
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.paircounting.EvaluatePairCountingFMeasure
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ComputeROCCurve
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultProcessor: Process a result.
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjectorFactory
processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.ProjectorFactory: Add projections for the given result (tree) to the result tree.
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Process a particular result.
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AxisVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.BubbleVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterConvexHullVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusteringVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterMeanVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DotVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ReferencePointsVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionConvexHullVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionCubeVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionDotVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipScoreVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipStringVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeMBRVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeSphereVisualization.Factory
processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory: Add visualizers for the given result (tree) to the context.
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.CurveVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Factory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisFactory
processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Factory
processQueryResult(Collection<DistanceResultPair<D>>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Run PCA on a QueryResult Collection
processQueryResult(Collection<DistanceResultPair<D>>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on a QueryResult Collection
processQueryResults(Collection<DistanceResultPair<D>>, Relation<? extends V>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processQueryResults(Collection<DistanceResultPair<D>>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processQueryResults(Collection<DistanceResultPair<D>>, Relation<? extends V>, int) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds
processQueryResults(Collection<DistanceResultPair<D>>, Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds
processQueryResults(Collection<DistanceResultPair<D>>, Relation<? extends V>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds
PROCLUS<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Provides the PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.
PROCLUS(int, int, int, int, Long) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Java constructor.
PROCLUS.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
PROCLUS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer
PROCLUS.PROCLUSCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Encapsulates the attributes of a cluster.
PROCLUS.PROCLUSCluster(ModifiableDBIDs, Set<Integer>, V) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster: Provides a new cluster with the specified parameters.
progress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a Progress object.
Progress - Interface in de.lmu.ifi.dbs.elki.logging.progress: Generic Progress logging interface.
progress - Variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord: Progress storage
progresses - Variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker: Set of potentially active progresses.
progressiveApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: The progressive approximation.
ProgressiveEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: The ProgressiveEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.
ProgressiveEigenPairFilter(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: Constructor.
ProgressiveEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
ProgressiveEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer
progressiveKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Determines and returns the progressive approximation for the knn distances of this node as the maximum of the progressive approximations of all entries.
ProgressLogRecord - Class in de.lmu.ifi.dbs.elki.logging.progress: Log record for progress messages.
ProgressLogRecord(Level, Progress) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord: Constructor for progress log messages.
ProgressTracker - Class in de.lmu.ifi.dbs.elki.logging.progress: Class to keep track of "alive" progresses.
ProgressTracker() - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Projection (may be null!)
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Affine transformation used in projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DVisualization: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.P2DVisualization: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization: The current projection
project(Matrix, ParameterizationFunction) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Projects the specified parameterization function into the subspace described by the given basis.
project(DoubleVector, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Provides a new DoubleVector as a projection on the specified attributes.
project(SparseFloatVector, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util: Provides a new SparseFloatVector as a projection on the specified attributes.
projectDataToRenderSpace(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(NumberVector<?, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a data vector from data space to rendering space.
projectDataToScaledSpace(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(NumberVector<?, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a data vector from data space to scaled space.
ProjectedCentroid - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Centroid only using a subset of dimensions.
ProjectedCentroid(BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Constructor for updating use.
projectedEnergy(Relation<V>, DistanceQuery<V, DoubleDistance>, ORCLUS<V>.ORCLUSCluster, ORCLUS<V>.ORCLUSCluster, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Computes the projected energy of the specified clusters.
projectedEnergy - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
projection(ORCLUS<V>.ORCLUSCluster, V, V) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Returns the projection of real vector o in the subspace of cluster c.
projection(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Projects this row vector into the subspace formed by the specified matrix v.
Projection - Interface in de.lmu.ifi.dbs.elki.visualization.projections: Base interface used for projections in the ELKI visualizers.
Projection1D - Interface in de.lmu.ifi.dbs.elki.visualization.projections: Interface for projections that have a specialization to only compute the first component.
Projection2D - Interface in de.lmu.ifi.dbs.elki.visualization.projections: Projections that have specialized methods to only compute the first two dimensions of the projection.
ProjectionResult - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra: Interface representing a simple projection result.
Projector - Interface in de.lmu.ifi.dbs.elki.visualization.projector: A projector is responsible for adding projections to the visualization.
ProjectorFactory - Interface in de.lmu.ifi.dbs.elki.visualization.projector: A projector is responsible for adding projections to the visualization by detecting appropriate relations in the database.
projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext: Projectors to use
projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer
projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer: Projectors to use.
projectRelativeDataToRenderSpace(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(NumberVector<?, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative data vector from data space to rendering space.
projectRelativeDataToScaledSpace(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(NumberVector<?, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative data vector from data space to scaled space.
projectRelativeRenderToDataSpace(Vector, NV) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative vector from rendering space to data space.
projectRelativeRenderToDataSpace(Vector, NV) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative vector from rendering space to data space.
projectRelativeRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRelativeRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a relative vector from rendering space to scaled space.
projectRelativeRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative vector from rendering space to scaled space.
projectRelativeScaledToDataSpace(Vector, NV) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a relative vector from scaled space to data space.
projectRelativeScaledToDataSpace(Vector, NV) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative vector from scaled space to data space.
projectRelativeScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRelativeScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a relative vector from scaled space to rendering space.
projectRelativeScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a relative vector from scaled space to rendering space.
projectRenderToDataSpace(Vector, NV) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a vector from rendering space to data space.
projectRenderToDataSpace(Vector, NV) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a vector from rendering space to data space.
projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a vector from rendering space to scaled space.
projectRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a vector from rendering space to scaled space.
projectScaledToDataSpace(Vector, NV) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection: Project a vector from scaled space to data space.
projectScaledToDataSpace(Vector, NV) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a vector from scaled space to data space.
projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a vector from scaled space to rendering space.
projectScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection: Project a vector from scaled space to rendering space.
promote(N, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit: Selects the second object of the specified node to be promoted and stored into the parent node and partitions the entries according to the M_LB_DIST strategy.
promote(N, DistanceQuery<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit: Selects two objects of the specified node to be promoted and stored into the parent node.
Properties - Class in de.lmu.ifi.dbs.elki.properties: Provides management of properties.
Properties(String) - Constructor for class de.lmu.ifi.dbs.elki.properties.Properties: Provides the properties as defined in the designated file.
properties - Variable in class de.lmu.ifi.dbs.elki.properties.Properties: Stores the properties as defined by a property-file.
properties - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Properties file to use.
PropertiesBasedStyleLibrary - Class in de.lmu.ifi.dbs.elki.visualization.style: Style library loading the parameters from a properties file.
PropertiesBasedStyleLibrary() - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Constructor without a properties file name.
PropertiesBasedStyleLibrary(String, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Constructor with a given file name.
PROPERTY_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.properties.Properties: The pattern to split for separate entries in a property string, which is a ",".
PROTOTYPE - Static variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject: Static (empty) prototype
proxy(DistanceQuery<O, D>) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction: Static method version.
ProxyDatabase - Class in de.lmu.ifi.dbs.elki.database: A proxy database to use e.g. for projections and partitions.
ProxyDatabase(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Constructor.
ProxyDatabase(DBIDs, Iterable<Relation<?>>) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Constructor.
ProxyDatabase(DBIDs, Relation<?>...) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Constructor.
ProxyDatabase(DBIDs, Database) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase: Constructor, proxying all relations of an existing database.
ProxyDistanceFunction<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Distance function to proxy computations to another distance (that probably was run before).
ProxyDistanceFunction(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction: Constructor
ProxyView<O> - Class in de.lmu.ifi.dbs.elki.database.relation: A virtual partitioning of the database.
ProxyView(Database, DBIDs, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProxyView: Constructor.
prune(Map<BitSet, Integer>, BitSet[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Prunes a given set of candidates to keep only those BitSets where all subsets of bits flipping one bit are frequent already.
prune - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer
prune - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Holds the value of CLIQUE.PRUNE_ID.
PRUNE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Flag to indicate that only subspaces with large coverage (i.e. the fraction of the database that is covered by the dense units) are selected, the rest will be pruned.
pruneDenseSubspaces(List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Performs a MDL-based pruning of the specified dense subspaces as described in the CLIQUE algorithm.
pseudoRandom(long, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction: Pseudo random number generator, adaption of the common rand48 generator which can be found in C (man drand48), Java and attributed to Donald Knuth.
ptrack - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Tracker for progress messages
publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler
publish(String, Level) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Print a message as if it were logged, without going through the full logger.
publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Publish a log record to the logging pane.
publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler
publish(String, Level) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Print a message as if it were logged, without going through the full logger.
publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Publish a logging record.
publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Publish a log record.
publishTextRecord(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel: Publish a text record to the pane
put(DBID, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
put(DBID, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
put(DBID, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
put(DBID, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
put(DBID, T) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore: Associates the specified value with the specified id in this storage.
put(DBID, DBID, D, Map<DBIDPair, D>) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberDistanceParser: Puts the specified distance value for the given ids to the distance cache.
put(String, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile: Add/Replace a saved setting
put(double) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Process a single double value.
put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Process a whole array of double values.
put(Collection<Double>) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Process a whole collection of double values.
put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add a single value with weight 1.0
put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add data with a given weight.
put(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add a single value with weight 1.0
put(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add data with a given weight.
put(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add a single value with weight 1.0
put(NumberVector<?, ?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid: Add data with a given weight.
put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add a single value with weight 1.0
put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add data with a given weight.
put(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add a single value with weight 1.0
put(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add data with a given weight.
put(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add a single value with weight 1.0
put(NumberVector<?, ?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Add data with a given weight.
put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Add a single value with weight 1.0
put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Add data with a given weight.
put(NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Add a single value with weight 1.0
put(NumberVector<?, ?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Add data with a given weight.
put(double) - Method in class de.lmu.ifi.dbs.elki.math.Mean: Add a single value with weight 1.0
put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.Mean: Add data with a given weight.
put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.Mean: Join the data of another MeanVariance instance.
put(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance: Add a single value with weight 1.0
put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance: Add data with a given weight.
put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance: Join the data of another MeanVariance instance.
put(T) - Method in class de.lmu.ifi.dbs.elki.math.MinMax: Process a single value.
put(T[]) - Method in class de.lmu.ifi.dbs.elki.math.MinMax: Process a whole array of values.
put(Iterable<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax: Process a whole collection of values.
put(SortedSet<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax: Process a whole collection of values.
put(int, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.StudentDistribution: Stores the specified t-values for the given degree of freedom.
put(Result, List<Result>, List<Result>) - Method in class de.lmu.ifi.dbs.elki.result.ResultHierarchy
put(O, List<O>, List<O>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HierarchyHashmapList: Put an object along with parent and child lists.
put(double, double, T) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Add a new recangle.
putBin(int, T) - Method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: Internal put function to handle the special cases of histogram resizing.
putIdElement(String, Element) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Add an object id.
putInQueue(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Put an element into the queue at a given position.
putInQueue(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
putter - Variable in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram: The class we are using for putting data.

Overview

Package

Class

Use

Tree

Deprecated

Index

Help

Release 0.4.0 (2011-09-20_1324)

PREV LETTER NEXT LETTER

FRAMES NO FRAMES

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 _