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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<P extends Page> - 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<P extends Page> - 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
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
 
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.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.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.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.logging.LoggingUtil
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<?>, CharSequence, 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.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
 
parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.VectorListParameter
 
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
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<P extends ExternalizablePage> - Class in de.lmu.ifi.dbs.elki.persistent
A PersistentPageFile stores objects persistently that implement the Page interface.
PersistentPageFile(int, String, Class<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
Creates a new PersistentPageFile from an existing file.
PersistentPageFileFactory<P extends ExternalizablePage> - 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.
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.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
 
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<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter
Return "true" when the normalization needs initialization (two-pass filtering!).
prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.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.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
 
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.
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.visualization.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(DBIDIter, ModifiableDBIDs, HashSetModifiableDBIDs) - 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.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.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(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations
 
processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer
 
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.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.
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<I>, 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<I>) - 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<I>) - 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<I>) - 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
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.
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.
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.
putData(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram
Deprecated.
putData(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram
Deprecated.
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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ELKI Version 0.7.0

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