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

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

P

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: Iterators for accessing the data objects.
p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection: Density threshold percentage p.
p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer: Density threshold p.
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.minkowski.LPIntegerNormDistanceFunction.Parameterizer: The value of p.
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: p parameter and its inverse.
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer: The value of p.
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction: P parameter and its inverse.
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction.Parameterizer: Value for p
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction: Value of p
p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer: Value of p.
p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings: Parameter p.
p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery: Lp-Norm p.
p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery: Lp-Norm p.
p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.VAFileKNNQuery: LP Norm p parameter.
p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.VAFileRangeQuery: LP Norm p parameter.
p - Variable in class de.lmu.ifi.dbs.elki.math.random.XorShift1024NonThreadsafeRandom: For rotating amongst states
p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Success probability
p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer: Success probability.
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.projections.AbstractProjection: Projector used
p - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel: Projector
p - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
P3C<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: P3C: A Robust Projected Clustering Algorithm.
P3C(double, double, int, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C: Constructor.
P3C.ClusterCandidate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: This class is used to represent potential clusters.
P3C.ClusterCandidate(P3C.Signature) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.ClusterCandidate: Constructor.
P3C.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
P3C.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer
P3C.Signature - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: P3C Cluster signature.
P3C.Signature(int[], DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature: Constructor.
P_HIGH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: Treshold for switching nethods for erfinv approximation
P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer: 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.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer: The number of dimensions to keep.
P_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer: 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.statistics.distribution.NormalDistribution: Treshold for switching nethods for erfinv approximation
PACKAGE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
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.persistent.AbstractPageFileFactory.Parameterizer: 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.
PagedIndexFactory<O,I extends Index> - Class in de.lmu.ifi.dbs.elki.index: Abstract base class for tree-based indexes.
PagedIndexFactory(PageFileFactory<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.PagedIndexFactory: Constructor.
PagedIndexFactory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index: Parameterization class.
PagedIndexFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer
PageFile - Interface in de.lmu.ifi.dbs.elki.persistent: Page file interface.
PAGEFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer: Optional parameter that specifies the factory type of pagefile to use for the index.
PAGEFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer: Parameter to specify the inner pagefile.
pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory: Page file factory.
pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer: Page file factory.
pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory: Inner page file factory.
pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer: Inner page file factory.
PageFileFactory - Interface in de.lmu.ifi.dbs.elki.persistent: Factory interface for generating page files.
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.vafile.PartialVAFile.Factory: Page size.
pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer: Page size.
pageSize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Page size.
pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory: Page size.
pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer: Page size.
pageSize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile: Page size, for estimating the VA file size.
pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory: Holds the value of AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID.
pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory.Parameterizer: Page size
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: Simple class wrapping two objects.
Pair(FIRST, SECOND) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair: Initialize pair
pairconfuse - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Pair counting confusion matrix (flat: inBoth, inFirst, inSecond, inNone)
paircount - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable: Pair counting measures
PairCounting - Class in de.lmu.ifi.dbs.elki.evaluation.clustering: Pair-counting measures.
PairCounting(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Constructor.
pairsize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment: Size of cluster, in pairs.
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.
PAMInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: PAM initialization for k-means (and of course, PAM).
PAMInitialMeans() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PAMInitialMeans: Constructor.
PAMInitialMeans.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
PAMInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PAMInitialMeans.Parameterizer
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.ClassParameterConfigurator: 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.minigui.MiniGUI: The main panel.
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.DropdownEditor: We need a panel to ensure focusing.
panel - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor: We need a panel to put our components on.
panelUpdated(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
panelUpdated(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
panelUpdated(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel
panelUpdated(ParameterTabPanel) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel: Called when an observed panel changes.
ParallelAxisVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel: Generates a SVG-Element containing axes, including labeling.
ParallelAxisVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization: Constructor.
ParallelAxisVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel: Instance.
ParallelAxisVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance: Constructor.
ParallelCore - Class in de.lmu.ifi.dbs.elki.parallel: Core for parallel processing in ELKI, based on ThreadPoolExecutor.
ParallelCore(int) - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelCore: Constructor.
ParallelExecutor - Class in de.lmu.ifi.dbs.elki.parallel: Class to run processors in parallel, on all available cores.
ParallelExecutor() - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor
ParallelExecutor.BlockArrayRunner - Class in de.lmu.ifi.dbs.elki.parallel: Run for an array part, without step size.
ParallelExecutor.BlockArrayRunner(ArrayDBIDs, int, int, Processor[]) - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner: Constructor.
ParallelKNNOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel: Parallel implementation of KNN Outlier detection.
ParallelKNNOutlier(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier: Constructor.
ParallelKNNOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel: Parameterization class
ParallelKNNOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier.Parameterizer
ParallelKNNWeightOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel: Parallel implementation of KNN Weight Outlier detection.
ParallelKNNWeightOutlier(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier: Constructor.
ParallelKNNWeightOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel: Parameterization class
ParallelKNNWeightOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier.Parameterizer
ParallelLloydKMeans<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel: Parallel implementation of k-Means clustering.
ParallelLloydKMeans(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans: Constructor.
ParallelLloydKMeans.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel: Parameterization class
ParallelLloydKMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans.Parameterizer
ParallelLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Parallel implementation of Local Outlier Factor using processors.
ParallelLOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF: Constructor.
ParallelLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Parameterization class
ParallelLOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF.Parameterizer
ParallelPlotFactory - Class in de.lmu.ifi.dbs.elki.visualization.projector: Produce parallel axes projections.
ParallelPlotFactory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotFactory: Constructor.
ParallelPlotProjector<V extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.visualization.projector: ParallelPlotProjector is responsible for producing a parallel axes visualization.
ParallelPlotProjector(Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotProjector: Constructor.
ParallelSimplifiedLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Parallel implementation of Simplified-LOF Outlier detection using processors.
ParallelSimplifiedLOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF: Constructor.
ParallelSimplifiedLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel: Parameterization class
ParallelSimplifiedLOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF.Parameterizer
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 - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackedParameter: Parameter value
Parameter<T> - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Interface for the parameter of a class.
parameter - Variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnspecifiedParameterException: Parameter that was missing.
ParameterConfigurator - Interface in de.lmu.ifi.dbs.elki.gui.configurator: Interface for different configuration assistants for the multistep GUI.
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> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Global parameter constraint describing the dependency of a parameter ( AbstractParameter) on a given flag (Flag).
ParameterFlagGlobalConstraint(Parameter<? extends S>, List<? extends ParameterConstraint<? super 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.
Parameterization - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Interface for object parameterizations.
ParameterizationFunction - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash: A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.
ParameterizationFunction(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.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.algorithm.clustering.correlation.cash: Available types for the global extremum.
ParameterizationFunction.ExtremumType() - Constructor for enum de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction.ExtremumType
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(Frame, 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 choosing classes.
ParameterTable.ClassListEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor: 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.DispatchingPanel - Class in de.lmu.ifi.dbs.elki.gui.util: This is a panel that will dispatch keystrokes to a particular component.
ParameterTable.DispatchingPanel(JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DispatchingPanel: 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<String>) - 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.
ParameterTable.Handler - Class in de.lmu.ifi.dbs.elki.gui.util: Internal key listener.
ParameterTable.Handler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.Handler
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
ParameterTabPanel.Status - Enum in de.lmu.ifi.dbs.elki.gui.multistep.panels: Status code enumeration
ParameterTabPanel.Status() - Constructor for enum de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel.Status
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.algorithm.clustering.GriDBSCAN.Core: Cluster number
parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: The parent DBID relation.
parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: The parent DBID relation.
parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode: Parent node and next in sequence.
parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Node: Parent node
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 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Parent element
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs: Parent element
parent - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Parent element
parent - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild: Parent node to append to.
parentDist - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node: Distance to parent.
parentDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Distance to the parent object.
parentDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: Distance to the parent object.
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.
parentiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Iterator over children
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.HashMapHierarchy.Rec: 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.AbstractStreamingParser
parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
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.StringParser
parse(InputStream, DistanceCacheWriter) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser
parse(InputStream, DistanceCacheWriter) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParser: Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.
parse(String) - Static method in class de.lmu.ifi.dbs.elki.logging.Logging.Level: Parse a logging level.
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.
parseDebugParameter(StringParameter) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer: Parse the option string to configure logging.
parseDouble(CharSequence) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Parse a double from a character sequence.
parseDouble(CharSequence, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Parse a double from a character sequence.
parseDouble(byte[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Parse a double from a character sequence.
parseLine() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: Parse a single line.
parseLine(Class<?>, char[], int, int, URL) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader: Parse a single line from a service registry file.
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser: Internal method for parsing a single line.
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser
parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser
parseLongBase10(CharSequence, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Parse a long integer from a character sequence.
parser - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer: Parser to use
parser - Variable in class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection: The parser.
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 for input file.
parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Distance parser
parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer: Parser for input file.
parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Distance parser
PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer: Parameter to specify the parser to provide a database.
PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer: Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
parseURL(String) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
parseURL(ParsedURL, String) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleArrayListParameter
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
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
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter
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
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter
parseVector(String) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Parse a string into a vector.
PartialVAFile<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.vafile: PartialVAFile.
PartialVAFile(int, Relation<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Constructor.
PartialVAFile.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.vafile: Index factory class.
PartialVAFile.Factory(int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory: Constructor.
PartialVAFile.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.vafile: Parameterization class.
PartialVAFile.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer
PartialVAFile.PartialVACandidate - Class in de.lmu.ifi.dbs.elki.index.vafile: Object in a VA approximation.
PartialVAFile.PartialVACandidate(VectorApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate: Constructor.
PartialVAFile.PartialVAFileKNNQuery - Class in de.lmu.ifi.dbs.elki.index.vafile: KNN query for this index.
PartialVAFile.PartialVAFileKNNQuery(DistanceQuery<V>, double, long[]) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery: Constructor.
PartialVAFile.PartialVAFileRangeQuery - Class in de.lmu.ifi.dbs.elki.index.vafile: Range query for this index.
PartialVAFile.PartialVAFileRangeQuery(DistanceQuery<V>, double, long[]) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery: Constructor.
PartialVAFile.Statistics - Class in de.lmu.ifi.dbs.elki.index.vafile: Class for tracking Partial VA file statistics.
PartialVAFile.Statistics(String) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
PartialVAFile.WorstCaseDistComparator - Class in de.lmu.ifi.dbs.elki.index.vafile: Compare DAfiles by their worst case distance.
PartialVAFile.WorstCaseDistComparator(VALPNormDistance) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.WorstCaseDistComparator
partition(List<? extends O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter: Partition the bundle based on the class label.
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.BulkSplit: Partitions the specified feature vectors
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit
partition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit: Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit
PartitionApproximationMaterializeKNNPreprocessor<O> - 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>, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Constructor
PartitionApproximationMaterializeKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: The parameterizable factory.
PartitionApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O>, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: Constructor.
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O> - 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
partitionData(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C: Partition the data set into bins bins in each dimension independently.
partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer: Number of partitions
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 - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile: Number of partitions.
partitions - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile: Number of partitions.
PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer: Parameter to specify the number of partitions to use for materializing the kNN.
PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory: Number of partitions to use in each dimension.
PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory: Number of partitions to use in each dimension.
partitionsFromIntegerLabels(DBIDs, IntegerDataStore, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithmUtil: Collect clusters from their [0;k-1] integer labels.
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.
pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Filter pattern for query points.
pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex: Filter pattern
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.selection.ByLabelFilter.Parameterizer: The pattern configured.
pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer: Matching pattern.
pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Matching pattern.
PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer: Parameter to select query points.
PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer: Pattern for recognizing positive objects.
PatternParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a pattern.
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) - 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.COPAC.Settings: Class to compute PCA.
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings: Class to compute PCA.
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.clustering.gdbscan.FourCNeighborPredicate: The Filtered PCA Runner
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer: Class to compute PCA with
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.algorithm.outlier.COP.Parameterizer: Holds the object performing the dependency derivation.
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP: Holds the PCA runner.
pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer: Holds the object performing the dependency derivation
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_COVARIANCE_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer: 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.Parameterizer: Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
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.
PCAFilteredAutotuningRunner - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Performs a self-tuning local PCA based on the covariance matrices of given objects.
PCAFilteredAutotuningRunner(CovarianceMatrixBuilder, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner: Constructor.
PCAFilteredAutotuningRunner.Cand - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Candidate
PCAFilteredAutotuningRunner.Cand(Matrix, double, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Cand: Constructor.
PCAFilteredAutotuningRunner.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Parameterization class.
PCAFilteredAutotuningRunner.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Parameterizer
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 - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: PCA runner that will do dimensionality reduction.
PCAFilteredRunner(CovarianceMatrixBuilder, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Constructor.
PCAFilteredRunner.Parameterizer - 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
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 - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca: Class to run PCA on given data.
PCARunner(CovarianceMatrixBuilder) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Constructor.
PCARunner.Parameterizer - 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
PCARUNNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer: Class to compute the PCA with.
PCARUNNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer: Parameter for the PCA runner class.
pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer: Keeps the currently set pDelta.
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.Parameterizer: PDELTA parameter
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution: Static version of the PDF of the beta distribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution: PDF function, static version.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution: PDF function
pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution: Chi-Squared distribution PDF (with 0.0 for x < 0)
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution
pdf(double) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution: Return the density of an existing value
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution
pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution: PDF, static version
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Probability density function of the ExGaussian distribution.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution: Gamma distribution PDF (with 0.0 for x < 0)
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution: PDF of GEV distribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Probability density function.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution: Probability density function.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution: PDF of GEV distribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution: PDF of Weibull distribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
pdf(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution: Probability density function.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution
pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution: PDF, static version
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution: LogGamma distribution PDF (with 0.0 for x < 0)
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution: LogGamma distribution PDF (with 0.0 for x < 0)
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution: Probability density function.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution: Probability density function.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution: Probability density function of the normal distribution.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: Probability density function of the normal distribution.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution
pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution: PDF of Rayleigh distribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Probability density function of the skewed normal distribution.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution
pdf(double, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution: Static version of the t distribution's PDF.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution
pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution: Probability density function of the Wald distribution.
pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution
pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution: PDF of Weibull distribution
pdim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel: Preference dimensionality.
peanoSort(List<T>, int, int, double[], int[], int, long[], boolean) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter: Sort by Peano curve.
PeanoSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves: Bulk-load an R-tree index by presorting the objects with their position on the Peano curve.
PeanoSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter: Constructor.
PearsonCorrelation - Class in de.lmu.ifi.dbs.elki.math: Class to incrementally compute pearson correlation.
PearsonCorrelation() - Constructor for class de.lmu.ifi.dbs.elki.math.PearsonCorrelation: Constructor.
pearsonCorrelationCoefficient(NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute the Pearson product-moment correlation coefficient for two NumberVectors.
pearsonCorrelationCoefficient(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute 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.database.ids.integer.DoubleIntegerDBIDKNNHeap
peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
peek() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Peek at the largest element in the heap.
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap: Get the current top key
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Peek at the top element.
peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap: Get the current top key
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap: Get the current top key
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap
peekDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Peek the topmost distance.
peekInternalDBID() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Peek the topmost internal ID.
peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap: Get the current top key
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap: Get the current top key
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap: Get the current top key
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap: Get the current top key
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
peekKey() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap: Get the current top value
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap: Get the current top value
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap: Get the current top value
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap: Get the current top value
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
peekValue() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette.Parameterizer: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette.Parameterizer: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria.Parameterizer: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
pending - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer: The current Runnable scheduled, prevents repeated invocations.
pendingRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot: Pending redraw request in Batik.
pendingRefresh - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Pending refresh, for lazy refreshing
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: Keeps the currently set pEpsilon.
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.Parameterizer: PEPSILON parameter
percentage - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler.Parameterizer: Sampling percentage.
percentage - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer: Percentage of the variance of the random Gaussian noise generation or of the range of the uniform distribution, given the variance of the corresponding attribute in the data.
percentage - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter: Percentage of the variance of the random noise generation, given the variance of the corresponding attribute in the data.
PERCENTAGE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer: Optional parameter to specify a percentage of the standard deviation of the random Gaussian noise generation, given the standard deviation of the corresponding attribute in the original data distribution (assuming a Gaussian there).
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 - Class in de.lmu.ifi.dbs.elki.persistent: A PersistentPageFile stores objects persistently that implement the Page interface.
PersistentPageFile(int, String, Class) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Creates a new PersistentPageFile from an existing file.
PersistentPageFileFactory - Class in de.lmu.ifi.dbs.elki.persistent: Page file factory for disk-based page files.
PersistentPageFileFactory(int, String) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory: Constructor.
PersistentPageFileFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.persistent: Parameterization class.
PersistentPageFileFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer
PerturbationFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: A filter to perturb the values by adding micro-noise.
PerturbationFilter(Long, double, PerturbationFilter.ScalingReference, double[], double[], PerturbationFilter.NoiseDistribution) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter: Constructor.
PerturbationFilter.NoiseDistribution - Enum in de.lmu.ifi.dbs.elki.datasource.filter.transform: Nature of the noise distribution.
PerturbationFilter.NoiseDistribution() - Constructor for enum de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.NoiseDistribution
PerturbationFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
PerturbationFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer
PerturbationFilter.ScalingReference - Enum in de.lmu.ifi.dbs.elki.datasource.filter.transform: Scaling reference options.
PerturbationFilter.ScalingReference() - Constructor for enum de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.ScalingReference
pf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures: Hilbert representation ("point features")
phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier.Parameterizer: Phi parameter.
phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier: The number of partitions for each dimension.
phi - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer: Phi value.
phi - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling: Phi parameter.
PHI_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier.Parameterizer: OptionID for the grid size.
PHI_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer: Phi parameter.
PHIINV075 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution: CDFINV(0.75)
PINN<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Projection-Indexed nearest-neighbors (PINN) is an index to retrieve the nearest neighbors in high dimensional spaces by using a random projection based index.
PINN(IndexFactory<O, ?>, int, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.PINN: Constructor.
PINN.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected: Parameterization class.
PINN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer
PISQUARE - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil: Pi squared
piv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Internal storage of pivot vector.
pivotizeList1D(List<T>, int, int, int, double, boolean) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.AbstractSpatialSorter: "Pivotize" the list, such that all elements before the given position are less than, all elements after the position are larger than the threshold value in the given dimension.
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() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer: Constructor.
PixmapVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Instance.
PixmapVisualizer.Instance(VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance: Constructor.
pkgname - Variable in class de.lmu.ifi.dbs.elki.gui.util.ClassTree.PackageNode: Class name.
plaintextEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: The plain text cell editor
plambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Predefined lambda scaling factor.
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.NodeReplaceByID: Plot to work in.
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: The SVG plot object.
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
plot - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Plot the thumbnail is in.
plotForClusterOrder(ClusterOrder, 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.
plotGray(SVGPlot, Element, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Plot a replacement marker when an object is to be plotted as "disabled", usually gray.
PLOTGREY - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Grayed out objects
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(PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem: Clone 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.
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.
plotnum - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The plot number for Batik
plotUncolored(SVGPlot, Element, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Plot a replacement marker when no color is set; usually black
plotwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization: Width of plot (in display units)
plus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A + B
plus(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A + s
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.
plus(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 + v2 for vectors.
plus(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 + d
plus(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: m3 = m1 + m2
plusDiagonal(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A + s
plusDiagonalEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + s
plusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + B
plusEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + s
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.
plusEquals(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 + v2, overwriting v1
plusEquals(double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 + d, overwriting v1
plusEquals(double[][], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: m1 = m1 + m2, overwriting m1
plusTimes(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: 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.
plusTimes(double[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 + v2 * s2
plusTimes(double[][], double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: m3 = m1 + s2 * m2
plusTimesEquals(Matrix, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A + s * B
plusTimesEquals(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: a = a + s * b.
plusTimesEquals(double[], double[], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Computes v1 = v1 + v2 * s2, overwriting v1
plusTimesEquals(double[][], double[][], double) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: m1 = m1 + s2 * m2, overwriting m1
pmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Predefined minimum and maximum values.
pmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Predefined parameters.
pmf(int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Poisson probability mass function (PMF) for integer values.
pmf(double, int, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Poisson probability mass function (PMF) for integer values.
pmin - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Predefined minimum and maximum values.
pmin - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Predefined parameters.
PointerDensityHierarchyRepresentationResult - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Extended pointer representation useful for HDBSCAN.
PointerDensityHierarchyRepresentationResult(DBIDs, DBIDDataStore, DoubleDataStore, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerDensityHierarchyRepresentationResult: Constructor.
PointerHierarchyRepresentationBuilder - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: Class to help building a pointer hierarchy.
PointerHierarchyRepresentationBuilder(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Constructor.
PointerHierarchyRepresentationResult - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical: The pointer representation of a hierarchical clustering.
PointerHierarchyRepresentationResult(DBIDs, DBIDDataStore, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: Constructor.
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.GeneratorStatic: Cluster points
points - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: entire point set
points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape: Points
points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D: The current set of points
points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D: The current set of points.
POISSON_THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer: Parameter for the poisson test threshold.
PoissonDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: INCOMPLETE implementation of the poisson distribution.
PoissonDistribution(int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Constructor.
PoissonDistribution(int, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Constructor.
PoissonDistribution(int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Constructor.
PoissonDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution: Parameterization class
PoissonDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer
poissonPDFm1(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution: Compute the poisson distribution PDF with an offset of + 1 pdf(x_plus_1 - 1, lambda)
poissonThreshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer: Parameter for the poisson test threshold.
poissonThreshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C: Parameter for the Poisson test threshold.
policy - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Styling policy
poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap: Poll the largest element from the heap.
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap: Remove the first element
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap: Remove the first element
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap: Remove the first element
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap: Remove the first element
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Remove the top element.
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap: Remove the first element
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap: Remove the first element
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap: Remove the first element
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.TiedTopBoundedUpdatableHeap
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 - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Renders PolygonsObject in the data set.
PolygonVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization: Constructor
PolygonVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot: Instance
PolygonVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: 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: Polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
PolynomialKernelFunction(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Constructor.
PolynomialKernelFunction(int) - 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: Constructor.
polys - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser: (Reused) storage of polygons.
POLYS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: Generic tag to indicate the type of element.
pop(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
pop() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Pop the topmost element.
pop(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
pop(DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs: Pop (get and remove) one DBID from the set, into a variable.
popup - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator: The popup we use.
popup - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator: The popup we use.
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.KNNSubList.Itr: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr: Next position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr: Position within array.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr: Current offset.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr: Cursor position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr: Iterator position: We use an integer so we can support retract().
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr: State
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr: Iterator position: We use an integer so we can support retract().
pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut: Size of the data set.
pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve.Itr: Iterator position
pos - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve.Itr: Iterator position
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.UnorderedIter: Current iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter: Iterator position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter: Current position.
pos - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader: Current position, and length of buffer
positions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult: Position storage, computed on demand.
positions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Curve position storage
positions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Curve position storage
positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer: Names for positive and negative classes.
positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Label to return for positive matches.
positive - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve: Number of positive observations
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.outlier.OutlierPrecisionAtKCurve.Parameterizer: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation.Parameterizer: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer: The pattern to identify positive classes.
POSITIVE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer: Class label to assign to positive instances.
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.outlier.OutlierPrecisionAtKCurve.Parameterizer: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation.Parameterizer: Pattern for positive class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer: Pattern for positive class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve: Stores the "positive" class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.Parameterizer: Pattern for positive class.
positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve: Stores the "positive" class.
positivePredictedValue(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the positive predicted value for the specified class.
positivePredictedValue() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix: Provides the positive predicted value.
postDelete(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Performs necessary operations after deleting the specified entry.
postDelete(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs necessary operations after deleting the specified object.
POW5_INT - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Precomputed powers of 5 for pow5, pow10 on the bit representation.
powi(double, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Fast loop for computing Math.pow(x, p) for p >= 0 integer.
PRAUC_LABEL - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve: AUC value for PR curve
precision() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed: Get the BCubed Precision (first clustering) (normalized, 0 = unequal)
precision() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting: Computes the pair-counting precision.
PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity: Full precision.
PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel: Maximum desired precision.
PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil: Maximum desired precision.
PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure: Full precision.
PRECISION_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil: Preallocated exceptions.
PrecisionAtKEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores: Evaluate using Precision@k, or R-precision (when k=0).
PrecisionAtKEvaluation(int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.PrecisionAtKEvaluation: Constructor.
PrecisionAtKEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.scores: Parameterization class.
PrecisionAtKEvaluation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.PrecisionAtKEvaluation.Parameterizer
PrecomputedDistanceMatrix<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix: Distance matrix, for precomputing similarity for a small data set.
PrecomputedDistanceMatrix(Relation<O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix: Constructor.
PrecomputedDistanceMatrix.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix: Factory for the index.
PrecomputedDistanceMatrix.Factory(DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory: Constructor.
PrecomputedDistanceMatrix.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix: Parameterizer.
PrecomputedDistanceMatrix.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory.Parameterizer
PrecomputedDistanceMatrix.PrecomputedDistanceQuery - Class in de.lmu.ifi.dbs.elki.index.distancematrix: Distance query using the precomputed matrix.
PrecomputedDistanceMatrix.PrecomputedDistanceQuery() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
PrecomputedDistanceMatrix.PrecomputedKNNQuery - Class in de.lmu.ifi.dbs.elki.index.distancematrix: kNN query using the distance matrix.
PrecomputedDistanceMatrix.PrecomputedKNNQuery() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedKNNQuery
PrecomputedDistanceMatrix.PrecomputedRangeQuery - Class in de.lmu.ifi.dbs.elki.index.distancematrix: Range query using the distance matrix.
PrecomputedDistanceMatrix.PrecomputedRangeQuery() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedRangeQuery
PrecomputedKNearestNeighborNeighborhood - 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> - 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>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory: Factory Constructor
PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer<O> - 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
precomputedKNNQuery(Database, Relation<O>, DistanceQuery<O>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Get (or create) a precomputed kNN query for the database.
precomputedKNNQuery(Database, Relation<O>, DistanceFunction<? super O>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Get (or create) a precomputed kNN query for the database.
precomputeInterestingRadii(DBIDs, RangeQuery<O>, WritableDataStore<LOCI.DoubleIntArrayList>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI: Preprocessing step: determine the radii of interest for each point.
predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder: Predecessor storage.
predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance: Predecessor storage.
predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: Predecessor storage.
predecessorID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry: The id of the entry's predecessor.
PreDeCon<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: PreDeCon computes clusters of subspace preference weighted connected points.
PreDeCon(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon: Constructor.
PreDeCon.Parameterizer<V extends NumberVector> - 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
PreDeCon.Settings - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Class containing all the PreDeCon settings.
PreDeCon.Settings() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings
PreDeCon.Settings.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
PreDeCon.Settings.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings.Parameterizer
PreDeConCorePredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: The PreDeCon core point predicate -- having at least minpts. neighbors, and a maximum preference dimensionality of lambda.
PreDeConCorePredicate(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate: Default constructor.
PreDeConCorePredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Instance for a particular data set.
PreDeConCorePredicate.Instance(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance: Constructor for this predicate.
PreDeConCorePredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Parameterization class
PreDeConCorePredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Parameterizer
PreDeConNeighborPredicate<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Neighborhood predicate used by PreDeCon.
PreDeConNeighborPredicate(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate: Constructor.
PreDeConNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Instance for a particular data set.
PreDeConNeighborPredicate.Instance(DBIDs, DataStore<PreDeConNeighborPredicate.PreDeConModel>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Instance: Constructor.
PreDeConNeighborPredicate.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Parameterization class.
PreDeConNeighborPredicate.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Parameterizer
PreDeConNeighborPredicate.PreDeConModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan: Model used by PreDeCon for core point property.
PreDeConNeighborPredicate.PreDeConModel(int, SetDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel: PreDeCon model.
PredefinedInitialMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Run k-means with prespecified initial means.
PredefinedInitialMeans(List<? extends NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans: Constructor.
PredefinedInitialMeans(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans: Constructor.
PredefinedInitialMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization: Parameterization class.
PredefinedInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer
prediction - Variable in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier: Index of the most abundant class.
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Compute unscaled distance in a range of dimensions.
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Compute unscaled distance in a range of dimensions.
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Compute unscaled distance in a range of dimensions.
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
PREFER_GTK - Static variable in class de.lmu.ifi.dbs.elki.gui.GUIUtil: Whether to prefer the GTK look and feel on Unix.
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 - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler: Statistics prefix.
PREFIX - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance: Prefix for statistics.
PREFIX - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes: Prefix for logged statistics.
PREFIX - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Statistics logging prefix.
prefix - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Prefix for the IDs generated.
prefixTest(SparseItemset) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset: Perform the prefix test for sparse itemset.
preInsert(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Performs necessary operations before inserting the specified entry.
preInsert(MkAppEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
preInsert(MkCoPEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
preInsert(MkMaxEntry) - 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, MkMaxEntry, KNNHeap) - 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) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
preInsert(MTreeEntry) - 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.
preInsert(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs necessary operations before inserting the specified entry.
preInsert(RdKNNEntry, RdKNNEntry, KNNHeap) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Adapts the knn distances before insertion of entry q.
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Compute unscaled norm in a range of dimensions.
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction: Compute unscaled norm in a range of dimensions.
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling
prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - 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.LogRankingPseudoOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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(A, NumberArrayAdapter<?, A>) - 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
prepare(A, NumberArrayAdapter<?, A>) - 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.normalization.columnwise.AttributeWiseMeanNormalization
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
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.normalization.columnwise.AttributeWiseMeanNormalization
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareProcessInstance(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter
prepareStart(SimpleTypeInformation) - 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.normalization.columnwise.AttributeWiseMeanNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareStart(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter
preprocess(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Preprocess the dataset, precomputing the parameterization functions.
preprocess(Class<? super M>, Relation<O>, RangeQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate: Perform the preprocessing step.
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.CachedDoubleDistanceKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor
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.NaiveProjectedKNNPreprocessor
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.RandomSampleKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor
preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor
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
PreprocessorKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.knn: Instance for a particular database, invoking the preprocessor.
PreprocessorKNNQuery(Relation<O>, AbstractMaterializeKNNPreprocessor<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery: Constructor.
PreprocessorRKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.rknn: Instance for a particular database, invoking the preprocessor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery: Constructor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor.Factory<O>) - 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.
prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer: Outlier scaling to apply during preprocessing.
prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment: Outlier scaling to apply during preprocessing.
prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer: Outlier scaling to apply during preprocessing.
prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix: Outlier scaling to apply during preprocessing.
PRESCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer: Scaling to apply to input scores.
PresortedBlindJoinDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource: Joins multiple data sources by their existing order.
PresortedBlindJoinDatabaseConnection(List<ObjectFilter>, List<DatabaseConnection>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection: Constructor.
PresortedBlindJoinDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource: Parameterization class.
PresortedBlindJoinDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer
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.
prev - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter: Previous value.
prev - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeSubstitute: Existing element to replace.
prevdist - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder: Last linking distance.
prevDist - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter: Distance of previous.
previousClearBit(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Find the previous clear bit.
previousClearBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Find the previous clear bit.
previousSetBit(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Find the previous set bit.
previousSetBit(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil: Find the previous set bit.
PRIM_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix: Adapter class for running Prim's minimum spanning tree algorithm.
Primes - Class in de.lmu.ifi.dbs.elki.math: Class for prime number handling.
Primes() - Constructor for class de.lmu.ifi.dbs.elki.math.Primes: Pseudo constructor.
PrimitiveDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Primitive distance function that is defined on some kind of object.
PrimitiveDistanceQuery<O> - 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>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery: Constructor.
PrimitiveDistanceSimilarityQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.distance: Combination query class, for convenience.
PrimitiveDistanceSimilarityQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O>, PrimitiveSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery: Constructor.
PrimitiveSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction: Interface SimilarityFunction describes the requirements of any similarity function.
PrimitiveSimilarityQuery<O> - 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>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery: Constructor.
PrimsMinimumSpanningTree - Class in de.lmu.ifi.dbs.elki.math.geometry: Prim's algorithm for finding the minimum spanning tree.
PrimsMinimumSpanningTree() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree
PrimsMinimumSpanningTree.Adapter<T> - Interface in de.lmu.ifi.dbs.elki.math.geometry: Adapter interface to allow use with different data representations.
PrimsMinimumSpanningTree.Array2DAdapter - Class in de.lmu.ifi.dbs.elki.math.geometry: Adapter for a simple 2d double matrix.
PrimsMinimumSpanningTree.Array2DAdapter() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter: Constructor.
PrimsMinimumSpanningTree.Collector - Interface in de.lmu.ifi.dbs.elki.math.geometry: Interface for collecting edges.
print(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
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.
printIndent() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
printitem(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
println(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
println() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
println(StringBuilder, int, String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Simple writing helper with no indentation.
printObject(TextWriterStream, Database, DBIDRef, List<Relation<?>>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter
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.DoublePriorityObject: Priority.
priority - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject: Priority.
PRIORITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry: The priority of this entry.
PriorProbabilityClassifier - Class in de.lmu.ifi.dbs.elki.algorithm.classification: Classifier to classify instances based on the prior probability of classes in the database, without using the actual data values.
PriorProbabilityClassifier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier: Constructor.
privateReconfigureLogging(String, String) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: Reconfigure logging.
prob - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer: Probability
prob - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter: Probability
PROB_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer: Option ID for sampling probability
PROB_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer: Success probability.
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.
ProbabilityWeightedMoments - Class in de.lmu.ifi.dbs.elki.math.statistics: Estimate the L-Moments of a sample.
ProbabilityWeightedMoments() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments
probcol - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Parameterizer: Column in which the probability is stored.
probcol - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter: Column in which the probability is stored.
PROBCOL_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Parameterizer: Parameter to specify where the probability is stored.
process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CLINK: CLINK main loop, based on the SLINK main loop.
process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK: SLINK main loop.
process(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable: Process two clustering results.
process(double[], double, double, KernelDensityFunction, int, double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator: Process a new array
process(VisualizerContext, A) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler1: Process a new result.
process(VisualizerContext, A, B) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler2: Process a new result.
process(VisualizerContext, A, B, C) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler3: Process a new result.
PROCESS_STOP - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
processCluster(Cluster<?>, List<? extends Cluster<?>>, int, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex
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!)
processCorePoint(DBIDRef, T, int, WritableIntegerDataStore, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance: Process a single core point.
processCorePoint(DBIDRef, DoubleDBIDList, int, WritableIntegerDataStore, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance: Process a single core point.
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 NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processDatabase(Relation<? extends NumberVector>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a complete database.
processDatabase(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on the complete database.
processDatabase(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder: Compute Covariance Matrix for a complete database.
processDataPages(SpatialPrimitiveDistanceFunction<? super V>, List<KNNHeap>, List<KNNHeap>, N, N) - 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.
processDense(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree: Process a k x k distance matrix.
processDense(Matrix) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree: Process a k x k distance matrix.
processDense(T, PrimsMinimumSpanningTree.Adapter<T>) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree: Run Prim's algorithm on a dense graph.
processDense(T, PrimsMinimumSpanningTree.Adapter<T>, PrimsMinimumSpanningTree.Collector) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree: Run Prim's algorithm on a dense graph.
processed - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS: processed points
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.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.GeneralizedOPTICS.Instance: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance: Holds a set of processed ids.
processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: 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(GeneratorMain, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'cluster' Element in the XML stream.
processElementDataset(GeneratorMain, 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.
processElementHalton(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection: Process a 'halton' 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(List<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(GeneratorMain, 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 NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processIds(DBIDs, Relation<? extends NumberVector>) - 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 NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Run PCA on a collection of database IDs.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on a collection of database IDs.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder
processIds(DBIDs, Relation<? extends NumberVector>) - 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 NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Weighted Covariance Matrix for a set of IDs.
processItem(PlotItem) - Method in class de.lmu.ifi.dbs.elki.result.ExportVisualizations
processKeyBinding(KeyStroke, KeyEvent, int, boolean) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DispatchingPanel
processNeighbor(List<Vector>, long[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
processNeighbors(DoubleDBIDListIter, ModifiableDBIDs, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Process a single core point.
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis: Perform clusterings evaluation
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.ExportVisualizations
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler
processNewResult(ResultHierarchy, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultProcessor: Process a result.
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjectorFactory
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotFactory
processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.ProjectorFactory: Add projections for the given result (tree) to the result tree.
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory
processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationProcessor: Add visualization items for the given result (tree) to the result tree.
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization
processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory: Add visualizers for the given result (tree) to the context.
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization
processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization
Processor - Interface in de.lmu.ifi.dbs.elki.parallel.processor: Class to represent a processor factory.
Processor.Instance - Interface in de.lmu.ifi.dbs.elki.parallel.processor: Instance.
processors - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelCore: Maximum number of processors to use.
processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner
processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner: Run PCA on a QueryResult Collection.
processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner: Run PCA on a QueryResult Collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection.
processSingleton(Cluster<?>, Relation<? extends O>, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex
PROCLUS<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: The PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.
PROCLUS(int, int, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Java constructor.
PROCLUS.DoubleIntInt - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Simple triple.
PROCLUS.DoubleIntInt(double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.DoubleIntInt
PROCLUS.Parameterizer<V extends NumberVector> - 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, long[], Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster: Constructor.
procs - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner: The processor masters that own the instances.
procs - Variable in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: The process masters that own the instances.
prog - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector: Progress, for progress logging.
progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance: Progress for logging.
progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance: Progress for logging.
progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance: Progress for logging.
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.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform: Final projection after analysis run.
proj - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily: Projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily: Projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Random projection family to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer: Projection to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory: Projection to use.
proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: Projection.
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.visualizers.histogram.AbstractHistogramVisualization: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: The current projection
proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization: Projection.
PROJ_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer: Parameter to specify the projection to use Key: -projection
PROJ_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer: Option ID for the projection to use.
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(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection
project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection
project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
project(IN) - Method in interface de.lmu.ifi.dbs.elki.data.projection.Projection: Project a single instance.
project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
project(V, long[], NumberVector.Factory<V>) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil: Project a number vector to the specified attributes.
project(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection
project(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection
project(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomProjectionFamily.Projection: Project a single vector.
project(NumberVector, double[]) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomProjectionFamily.Projection: Project a single vector, into the given buffer.
project(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection
project(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection
project(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
project(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
project(double[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath: Projects this row vector into the subspace formed by the specified matrix v.
projectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a data vector from data space to rendering space.
projectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a data vector from data space to scaled space.
projectDense(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection: Slower version, for dense multiplication.
projected - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Projected data.
ProjectedCentroid - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: Centroid only using a subset of dimensions.
ProjectedCentroid(long[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: Constructor for updating use.
projectedEnergy(Relation<V>, DistanceQuery<V>, 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
ProjectedIndex<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected: Class to index data in an arbitrary projection only.
ProjectedIndex(Relation<O>, Projection<O, I>, Relation, Index, boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex: Constructor.
ProjectedIndex.Factory<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected: Index factory.
ProjectedIndex.Factory(Projection<O, I>, IndexFactory<I, ?>, boolean, boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory: Constructor.
ProjectedIndex.Factory.Parameterizer<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected: Parameterization class.
ProjectedIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer
ProjectedIndex.ProjectedKNNQuery - Class in de.lmu.ifi.dbs.elki.index.projected: Class to proxy kNN queries.
ProjectedIndex.ProjectedKNNQuery(DistanceQuery<O>, KNNQuery) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery: Constructor.
ProjectedIndex.ProjectedRangeQuery - Class in de.lmu.ifi.dbs.elki.index.projected: Class to proxy range queries.
ProjectedIndex.ProjectedRangeQuery(DistanceQuery<O>, RangeQuery) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery: Constructor.
ProjectedIndex.ProjectedRKNNQuery - Class in de.lmu.ifi.dbs.elki.index.projected: Class to proxy RkNN queries.
ProjectedIndex.ProjectedRKNNQuery(DistanceQuery<O>, RKNNQuery) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery: Constructor.
projectedPoints - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: all projected points
ProjectedView<IN,OUT> - Class in de.lmu.ifi.dbs.elki.database.relation: Projected relation view (non-materialized)
ProjectedView(Relation<IN>, Projection<IN, OUT>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProjectedView: Constructor.
projection(ORCLUS<V>.ORCLUSCluster, V, NumberVector.Factory<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<IN,OUT> - Interface in de.lmu.ifi.dbs.elki.data.projection: Projection interface.
projection - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection: Projection matrix.
projection - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView: The projection we use.
projection - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer: Projection to apply.
projection - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter: Projection to apply.
projection - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction: Projection function.
projection - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Projection matrix.
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.
PROJECTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer: Parameter for choosing the random projections.
PROJECTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer: Parameter for choosing the random projections.
ProjectionFilter<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Apply a projection to the data.
ProjectionFilter(Projection<I, O>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter: Constructor.
ProjectionFilter.Parameterizer<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform: Parameterization class.
ProjectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer
ProjectionParallel - Interface in de.lmu.ifi.dbs.elki.visualization.projections: Projection to parallel coordinates that allows reordering and inversion of axes.
ProjectionResult - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra: Interface representing a simple projection result.
projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer: Number of projections to use.
projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Number of projections to use.
projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Number of projections to use.
PROJECTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer: Parameter for choosing the number of projections to use.
projector - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.OPTICSProjection: The projector we were generated from.
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.
projectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative data vector from data space to scaled space.
projectRelativeRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative vector from rendering space to data space.
projectRelativeRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative vector from rendering space to data space.
projectRelativeRenderToScaled(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRelativeRenderToScaled(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a relative vector from rendering space to scaled space.
projectRelativeRenderToScaled(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative vector from rendering space to scaled space.
projectRelativeScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a relative vector from scaled space to data space.
projectRelativeScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative vector from scaled space to data space.
projectRelativeScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRelativeScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a relative vector from scaled space to rendering space.
projectRelativeScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a relative vector from scaled space to rendering space.
projectRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a vector from rendering space to data space.
projectRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a vector from rendering space to data space.
projectRenderToScaled(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectRenderToScaled(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a vector from rendering space to scaled space.
projectRenderToScaled(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a vector from rendering space to scaled space.
projectScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection: Project a vector from scaled space to data space.
projectScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a vector from scaled space to data space.
projectScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
projectScaledToRender(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection: Project a vector from scaled space to rendering space.
projectScaledToRender(double[]) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection: Project a vector from scaled space to rendering space.
projectSparse(SparseNumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection: Project, exploiting sparsity; but the transposed matrix layout would have been better.
PROP_LINES_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Property string for the line style library
PROP_MARKER_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Property string for the marker style library
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.
prototype - Variable in class de.lmu.ifi.dbs.elki.data.model.PrototypeModel: Cluster prototype
PROTOTYPE - Static variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject: Static (empty) prototype
PrototypeModel<V> - Class in de.lmu.ifi.dbs.elki.data.model: Cluster model that stores a prototype for each cluster.
PrototypeModel(V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.PrototypeModel: Constructor with prototype
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.
ProxyView<O> - Class in de.lmu.ifi.dbs.elki.database.relation: A virtual partitioning of the database.
ProxyView(DBIDs, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProxyView: Constructor.
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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature: Pruning flag.
PRUNE - Static variable in class de.lmu.ifi.dbs.elki.logging.ErrorFormatter: List of packages to prune from stack traces at the end.
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.
pruneRedundantClusterCores(ArrayList<P3C.Signature>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
pruneTree(int, int[], int) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree: Prune the minimum spanning tree, removing all edges to nodes that have a degree below minDegree.
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
purity() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity: Get the set matchings purity (first:second clustering) (normalized, 1 = equal)
put(DBIDRef, DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore: Deprecated.
put(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
put(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore: Deprecated.
put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
put(DBIDRef, Integer) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore: Deprecated.
put(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
put(DBIDRef, DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore: Deprecated.
put(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
put(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore: Deprecated.
put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
put(DBIDRef, Integer) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore: Deprecated.
put(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
put(DBIDRef, T) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, DBID) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore: Deprecated.
Use WritableDBIDDataStore.putDBID(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, de.lmu.ifi.dbs.elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.
put(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, Double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore: Deprecated.
Use WritableDoubleDataStore.putDouble(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, double) instead, to avoid boxing/unboxing cost.
put(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, Integer) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore: Deprecated.
Use WritableIntegerDataStore.putInt(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, int) instead, to avoid boxing/unboxing cost.
put(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore: Associates the specified value with the specified id in this storage.
put(int, int, double) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceCacheWriter: 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: Deprecated.
Collection<Double> is expensive. Avoid.
put(DoubleMinMax) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Process a MinMax pair.
put(int) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Process a single int value.
put(int[]) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Process a whole array of int values.
put(Collection<Integer>) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Deprecated.
Collection<Integer> is expensive. Avoid.
put(IntegerMinMax) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax: Process a MinMax pair.
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.Mean: Add values with weight 1.0
put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.Mean: Add values with weight 1.0
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(double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance: Add values with weight 1.0
put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
put(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax: Add values with weight 1.0
put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax
put(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation: Put a single value into the correlation statistic.
put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation: Put a single value into the correlation statistic.
put(double) - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments: Add a single value with weight 1.0
put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments: Add data with a given weight.
put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments: Join the data of another MeanVariance instance.
put(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram: Update the value of a bin with new data.
put(PlotItem, VisualizationTask, Element, Visualization) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap: Put a new combination into the map.
put(PlotItem, VisualizationTask, Pair<Element, Visualization>) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap: Put a new item into the visualizations
put(double, double, T) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger: Add a new recangle.
putData(double, T) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Put fresh data into the histogram (or into the cache)
putData(double, double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram: Deprecated.
use the explicit DoubleArrayStaticHistogram.increment(double, double[]) instead.
putData(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram: Deprecated.
use the explicit IntArrayStaticHistogram.increment(double, int[]) instead.
putData(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram: Deprecated.
use the explicit LongArrayStaticHistogram.increment(double, long[]) instead.
putData(double, MeanVariance) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram: Aggregate new data into the histogram.
putData(double, T) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram: Aggregate new data into the histogram.
putDBID(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
putDBID(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
putDBID(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore: Associates the specified value with the specified id in this storage.
putDouble(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
putDouble(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
putDouble(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore: Associates the specified value with the specified id in this storage.
putIdElement(String, Element) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Add an object id.
putInt(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
putInt(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
putInt(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore: Associates the specified value with the specified id in this storage.
putRec(O, HashMapHierarchy.Rec<O>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy: Put a record.
PWM2Estimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator, using the second moment.
PWM2Estimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator
PWM2Estimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Parameterization class.
PWM2Estimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator.Parameterizer
PWMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator.
PWMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWMEstimator
PWMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality: Parameterization class.
PWMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWMEstimator.Parameterizer

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