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.
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Release 0.4.1 (2012-01-30_1741)