- p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection
-
- p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer
-
- p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach
-
the parameter p.
- p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer
-
Percentile parameter p.
- p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction.Parameterizer
-
The value of p.
- p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
-
Keeps the currently set p 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
-
Keeps the currently set p.
- 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.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.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.DBOutlierDetection
-
Parameter to specify the minimum fraction of objects that must be outside
the D- neighborhood of an outlier
- P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer
-
Parameter for the percentile value p.
- P_ID - Static variable in class de.lmu.ifi.dbs.elki.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
-
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
- 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
-
Generic SimplePair class.
- 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.
- PairInterface<FIRST,SECOND> - Interface in de.lmu.ifi.dbs.elki.utilities.pairs
-
Pair interface.
- pairsize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
-
Size of cluster, in pairs.
- PairUtil - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Utility functions for (boxed) Pair classes.
- PairUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil
-
- PairUtil.Compare<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Compare two SimplePairs based on two comparators
- PairUtil.Compare(Comparator<? super FIRST>, Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.Compare
-
Provides a comparator for an
Pair based on the given Comparator
for type
P.
- PairUtil.CompareByFirst<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Compare two SimplePairs based on a comparator for the first component.
- PairUtil.CompareByFirst(Comparator<? super FIRST>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareByFirst
-
Provides a comparator for an
Pair based on the given Comparator
for type
P.
- PairUtil.CompareBySecond<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Compare two SimplePairs based on a comparator for the second component.
- PairUtil.CompareBySecond(Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareBySecond
-
Provides a comparator for an
Pair based on the given Comparator
for type
P.
- PairUtil.CompareNatural<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Class to do a "natural order" comparison on this class.
- PairUtil.CompareNatural() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNatural
-
- PairUtil.CompareNaturalFirst<FIRST extends Comparable<? super FIRST>,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Class to do a natural comparison on this class' first component.
- PairUtil.CompareNaturalFirst() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalFirst
-
- PairUtil.CompareNaturalSecond<FIRST,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Class to do a natural comparison on this class' second component.
- PairUtil.CompareNaturalSecond() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSecond
-
- PairUtil.CompareNaturalSwapped<FIRST extends Comparable<? super FIRST>,SECOND extends Comparable<? super SECOND>> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Class to do a canonical swapped comparison on this class.
- PairUtil.CompareNaturalSwapped() - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareNaturalSwapped
-
- PairUtil.CompareSwapped<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
-
Compare two SimplePairs based on two comparators, but by second component
first.
- PairUtil.CompareSwapped(Comparator<? super FIRST>, Comparator<? super SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.PairUtil.CompareSwapped
-
Provides a comparator for an
Pair based on the given Comparator
for type
P.
- palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter
-
The threshold for strong eigenvectors: the strong eigenvectors explain a
portion of at least alpha of the total variance.
- palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer
-
The threshold for strong eigenvectors: the strong eigenvectors explain a
portion of at least alpha of the total variance.
- PAMInitialMeans<V,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
PAM initialization for k-means (and of course, PAM).
- PAMInitialMeans() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.PAMInitialMeans
-
Constructor.
- PAMInitialMeans.Parameterizer<V,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
-
Parameterization class.
- PAMInitialMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.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.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) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
-
Constructor.
- 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 NumberVector<?>> - 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.
- 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<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.
- Parameterizable - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling
-
Interface to define the required methods for command line interaction.
- Parameterization - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization
-
Interface for object parameterizations.
- ParameterizationFunction - Class in de.lmu.ifi.dbs.elki.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
-
- 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 selecting input and output file and folders names
- ParameterTable.ClassListEditor() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor
-
Constructor.
- ParameterTable.ClassListEditor.SuperPopup - Class in de.lmu.ifi.dbs.elki.gui.util
-
Modified popup
- ParameterTable.ClassListEditor.SuperPopup(JComboBox<String>) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor.SuperPopup
-
Constructor.
- ParameterTable.ColorfulRenderer - Class in de.lmu.ifi.dbs.elki.gui.util
-
Renderer for the table that colors the entries according to their bitmask.
- ParameterTable.ColorfulRenderer() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ColorfulRenderer
-
Constructor.
- ParameterTable.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.
- 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.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.ELKIServiceLoader
-
Parent class
- parent - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
-
Parent node to append to.
- 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.distance.distancefunction.MinKDistance.Parameterizer
-
The distance function to determine the exact distance.
- parentDistance - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance
-
The distance function to determine the exact distance.
- parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
-
The distance from the routing object of this entry to its parent's routing
object.
- parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
-
The distance from the underlying data object to its parent's routing
object.
- parentDistanceQuery - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Instance
-
Distance query for parent distance.
- 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 class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser
-
- parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.Parser
-
Returns a list of the objects parsed from the specified input stream.
- parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
-
- parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseBitVectorLabelParser
-
- parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser
-
- parse(InputStream) - 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(InputStream) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
-
- 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.
- parseFile(URL) - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
- parseLine(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
-
Parse a single line.
- parseLine(String, ArrayList<Class<?>>, URL) - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
- parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser
-
- parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Internal method for parsing a single line.
- parseLineInternal(String) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser
-
- parseLineInternal(String) - 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 - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer
-
- PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.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
-
Optional parameter to specify the parsers to provide a database, must
extend
DistanceParser.
- PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
-
Optional parameter to specify the parsers to provide a database, must
extend
DistanceParser.
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
-
- parseString(String) - Method in interface de.lmu.ifi.dbs.elki.distance.distancevalue.Distance
-
Provides a measurement suitable to this measurement function based on the
given pattern.
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
-
As pattern is required a String defining a Double.
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
-
As pattern is required a String defining a Float.
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
-
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
-
Provides a distance suitable to this DistanceFunction based on the given
pattern.
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
-
- parseString(String) - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.SubspaceDistance
-
- 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.DistanceParameter
-
- parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter
-
- parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
-
- 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, DoubleDistance>, double, BitSet) - 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, DoubleDistance>, double, BitSet) - 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
-
- PARTITION_ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
Parameter to specify the clustering algorithm to apply to each partition,
must extend
ClusteringAlgorithm.
- PARTITION_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
- partitionAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
Get the algorithm to run on each partition.
- partitionAlgorithmParameters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
Holds the parameters of the algorithm to run on each partition.
- PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
-
A preprocessor for annotation of the k nearest neighbors (and their
distances) to each database object.
- PartitionApproximationMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O, D>, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor
-
Constructor
- PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
-
The parameterizable factory.
- PartitionApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super O, D>, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory
-
Constructor.
- PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn
-
Parameterization class.
- PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer
-
- 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.
- partitionDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
- partitionDistanceQuery - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
The last used distance query
- partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer
-
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.
- PATH_ARC_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) path arc command.
- PATH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) cubic line to command.
- PATH_HORIZONTAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) horizontal line to command.
- PATH_JSON - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer
-
The base path we serve data from.
- PATH_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) line to command.
- PATH_MOVE_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) move command.
- PATH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) quadratic interpolation to command.
- PATH_SMOOTH_CUBIC_TO - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The absolute "smooth cubic to" SVG path command (missing from
SVGConstants).
- PATH_SMOOTH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) smooth cubic to command.
- PATH_SMOOTH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) smooth quadratic interpolation to
command.
- PATH_VERTICAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
The lower case version (relative) vertical line to command.
- pathByAddingChild(TreeIndexPathComponent<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath
-
Returns a new path containing all the elements of this object plus
child.
- 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.ByLabelFilter.Parameterizer
-
The pattern configured.
- pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter
-
The filter pattern
- pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter.Parameterizer
-
Matching pattern.
- pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.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.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.ORCLUS.Parameterizer
-
- pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
-
The PCA utility object.
- pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
-
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 - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory.Parameterizer
-
The Filtered PCA Runner
- pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory
-
The Filtered PCA Runner
- pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex
-
The Filtered PCA Runner
- PCA_COVARIANCE_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
- PCA_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
-
Parameter to specify the distance function used for running PCA.
- PCA_EIGENPAIR_FILTER - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Parameter to specify the filter for determination of the strong and weak
eigenvectors, must be a subclass of
EigenPairFilter.
- PCABasedCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Provides the correlation distance for real valued vectors.
- PCABasedCorrelationDistanceFunction(IndexFactory<NumberVector<?>, FilteredLocalPCAIndex<NumberVector<?>>>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction
-
Constructor
- PCABasedCorrelationDistanceFunction.Instance<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
The actual instance bound to a particular database.
- PCABasedCorrelationDistanceFunction.Instance(Relation<V>, FilteredLocalPCAIndex<V>, double, PCABasedCorrelationDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
-
Constructor.
- PCABasedCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Parameterization class.
- PCABasedCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer
-
- PCACorrelationDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
-
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects.
- PCACorrelationDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
-
Empty constructor for serialization purposes.
- PCACorrelationDistance(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PCACorrelationDistance
-
Constructs a new CorrelationDistance object consisting of the specified
correlation value and euclidean value.
- pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer
-
- pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
-
- PCAFilteredAutotuningRunner<V extends NumberVector<?>> - 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<V>, 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<V extends NumberVector<?>> - 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<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
PCA runner that will do dimensionality reduction.
- PCAFilteredRunner(CovarianceMatrixBuilder<V>, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Constructor.
- PCAFilteredRunner.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
Parameterization class.
- PCAFilteredRunner.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer
-
- pcaParameters(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
-
Returns the parameters for the PCA for the specified correlation dimension.
- pcaresult - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel
-
The computed PCA result of this cluster.
- PCAResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
Result class for Principal Component Analysis with some convenience methods
- PCAResult(double[], Matrix, SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult
-
Build a PCA result object.
- PCAResult(SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult
-
Build a PCA result from an existing set of EigenPairs.
- PCARunner<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
Class to run PCA on given data.
- PCARunner(CovarianceMatrixBuilder<V>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
Constructor.
- PCARunner.Parameterizer<V extends NumberVector<?>> - 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
-
- pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
Keeps the currently set pDelta.
- PDELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
PDELTA parameter
- pdf(double) - 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) - 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
- pdistI - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer
-
- peanoSort(List<T>, int, int, double[], int[], int, BitSet, 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
-
Provides the Pearson product-moment correlation coefficient for two
FeatureVectors.
- pearsonCorrelationCoefficient(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Provides the Pearson product-moment correlation coefficient for two
FeatureVectors.
- PearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Pearson correlation distance function for feature vectors.
- PearsonCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
-
Deprecated.
Use static instance!
- PearsonCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
-
Parameterization class.
- PearsonCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction.Parameterizer
-
- peek() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceKNNHeap
-
- peek() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.KNNHeap
-
Peek at the largest element in the heap.
- peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.AbstractKNNHeap
-
- peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
-
- peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
-
- peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
-
- peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDSortedKNNList
-
- 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.DoubleDistanceIntegerDBIDKNNHeap
-
Peek the topmost distance.
- peekInternalDBID() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
-
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
-
- pendingRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
-
Pending redraw
- pendingRefresh - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
-
Pending refresh, for lazy refreshing
- pendingThumbnail - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
-
Pending redraw
- pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer
-
- pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
Keeps the currently set pEpsilon.
- PEPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
PEPSILON parameter
- percentage - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder.Parameterizer
-
Percentage.
- percentage - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder
-
- PERCENTAGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder
-
Parameter to specify the average percentage of distances randomly chosen to
be provided in the result, must be a double greater than 0 and less than or
equal to 1.
- PercentageEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
The PercentageEigenPairFilter sorts the eigenpairs in descending order of
their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is
higher than the given percentage of the sum of all eigenvalues as strong
eigenpairs.
- PercentageEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
-
Constructor.
- PercentageEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
Parameterization class.
- PercentageEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer
-
- perimeter(SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
-
Computes the perimeter of this SpatialComparable.
- permutePivot(IntIntPair, IntIntPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
-
permutes two matrix rows and two matrix columns
- PersistentPageFile<P extends 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
-
- pf - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
-
Hilbert representation ("point features")
- phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier.Parameterizer
-
Phi parameter.
- phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.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.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.
- 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
-
- pinv - Variable in class tutorial.distancefunction.MultiLPNorm
-
Normalization factor (count(ps)/sum(ps))
- 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
-
- PixmapVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj
-
Instance.
- PixmapVisualizer.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer.Instance
-
Constructor.
- 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.NodeReplacer
-
- plot - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
-
The Optics plot.
- plot - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector
-
OPTICS plot image
- PLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
-
Plot
- plotForClusterOrder(ClusterOrderResult<D>, VisualizerContext) - Static method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
-
Static method to find an optics plot for a result, or to create a new one
using the given context.
- 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.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(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic
-
Adds the given number to this number.
- plus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
-
- plus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
C = A + B
- plus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
-
Returns a new vector which is the result of this vector plus the specified
vector.
- 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
- plusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
-
A = A + B
- plusEquals(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
-
a = a + b.
- plusEquals(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
-
Add a constant value to all dimensions.
- 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.
- PointerHierarchyRepresentationResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
The pointer representation of a hierarchical clustering.
- PointerHierarchyRepresentationResult(DBIDs, DBIDDataStore, DataStore<D>) - 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.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.opticsplot.OPTICSColorFromStylingPolicy
-
The styling policy
- policy - Variable in class de.lmu.ifi.dbs.elki.visualization.style.StyleResult
-
Styling policy
- policy - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
-
Styling policy
- poll() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceKNNHeap
-
- poll() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.KNNHeap
-
Poll the largest element from the heap.
- poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.AbstractKNNHeap
-
- poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
-
- poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
-
- poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
-
- poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDSortedKNNList
-
- 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) - 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
-
Provides a 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
-
Provides a new polynomial regression model with the specified parameters.
- POLYS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
-
Generic tag to indicate the type of element.
- pop() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
-
Pop the topmost element.
- popup - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator
-
The popup menu.
- popup - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor
-
The popup menu.
- port - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer
-
Our port
- port - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler
-
Listen port
- PORT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer
-
Port to use for listening
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList.Itr
-
Iterator position.
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList.Itr
-
Cursor position.
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList.Itr
-
Cursor position.
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap.Itr
-
Cursor position.
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList.Itr
-
Current position.
- pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.GenericDistanceDBIDList.Itr
-
Iterator position.
- 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.DoubleDistanceIntegerDBIDPairKNNListHeap.Itr
-
Cursor position.
- 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.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.roc.ROC.DecreasingVectorIter
-
Current position.
- pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.IncreasingVectorIter
-
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.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.Rec.ItrChildren
-
- 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.iterator.ArrayListIter
-
Current position.
- positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter.Parameterizer
-
Names for positive and negative classes.
- positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.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
-
The pattern to identify positive classes.
- POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve
-
The pattern to identify positive classes.
- POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve
-
The pattern to identify positive classes.
- POSITIVE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.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
-
- 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.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.
- postDelete(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
-
Performs necessary operations after deleting the specified entry.
- 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_OVERFLOW - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
-
Preallocated exceptions.
- PrecomputedKNearestNeighborNeighborhood<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
-
Neighborhoods based on k nearest neighbors.
- PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood
-
Constructor.
- PrecomputedKNearestNeighborNeighborhood.Factory<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
-
Factory class to instantiate for a particular relation.
- PrecomputedKNearestNeighborNeighborhood.Factory(int, DistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
-
Factory Constructor
- PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
-
Parameterization class
- PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
-
- predecessorID - Variable in class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry
-
The id of the entry's predecessor.
- predecessorID - Variable in class de.lmu.ifi.dbs.elki.result.optics.GenericClusterOrderEntry
-
The id of the entry's predecessor.
- PreDeCon<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
PreDeCon computes clusters of subspace preference weighted connected points.
- PreDeCon(DoubleDistance, int, LocallyWeightedDistanceFunction<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon
-
Constructor.
- PreDeCon.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Parameterization class.
- PreDeCon.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer
-
- PreDeConSubspaceIndex<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
-
Preprocessor for PreDeCon local dimensionality and locally weighted matrix
assignment to objects of a certain database.
- PreDeConSubspaceIndex(Relation<V>, D, DistanceFunction<V, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex
-
Constructor.
- PreDeConSubspaceIndex.Factory<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
-
Factory.
- PreDeConSubspaceIndex.Factory(D, DistanceFunction<V, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory
-
Constructor.
- PreDeConSubspaceIndex.Factory.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
-
Parameterization class.
- PreDeConSubspaceIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer
-
- PREFER_GTK - Static variable in class de.lmu.ifi.dbs.elki.gui.GUIUtil
-
Whether to prefer the GTK look and feel on Unix.
- PreferenceVectorBasedCorrelationDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
-
A PreferenceVectorBasedCorrelationDistance holds additionally to the
CorrelationDistance the common preference vector of the two objects defining
the distance.
- PreferenceVectorBasedCorrelationDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
-
Empty constructor for serialization purposes.
- PreferenceVectorBasedCorrelationDistance(int, int, double, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
-
Constructs a new CorrelationDistance object.
- PreferenceVectorIndex<NV extends NumberVector<?>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference
-
Interface for an index providing preference vectors.
- PreferenceVectorIndex.Factory<V extends NumberVector<?>,I extends PreferenceVectorIndex<V>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference
-
Factory interface
- PREFIX - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader
-
Prefix for the ELKI functionality discovery.
- prefix - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator
-
- prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers
-
Prefix for the IDs generated.
- 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<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
-
Adapts the knn distances before insertion of entry q.
- preInsert(MkTabEntry) - 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.
- 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.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.AttributeWiseVarianceNormalization
-
- prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.InverseDocumentFrequencyNormalization
-
- prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
- 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.AttributeWiseMinMaxNormalization
-
- prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization
-
- prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.InverseDocumentFrequencyNormalization
-
- prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SparseVectorFieldFilter
-
- prepareProcessInstance(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
- 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.AttributeWiseMinMaxNormalization
-
- prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseVarianceNormalization
-
- prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.InverseDocumentFrequencyNormalization
-
- prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.SparseVectorFieldFilter
-
- prepareStart(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
- preprocess(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Preprocess the dataset, precomputing the parameterization functions.
- 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.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.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
- PREPROCESSOR_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC
-
- PreprocessorKNNQuery<O,D extends Distance<D>,T extends KNNList<D>> - Class in de.lmu.ifi.dbs.elki.database.query.knn
-
Instance for a particular database, invoking the preprocessor.
- PreprocessorKNNQuery(Relation<O>, AbstractMaterializeKNNPreprocessor<O, D, T>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery
-
Constructor.
- PreprocessorKNNQuery(Relation<O>, AbstractMaterializeKNNPreprocessor.Factory<O, D, T>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery
-
Constructor.
- PreprocessorRKNNQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.rknn
-
Instance for a particular database, invoking the preprocessor.
- PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery
-
Constructor.
- PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor.Factory<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery
-
Constructor.
- preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling
-
- preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling
-
Normalize data if necessary.
- 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
-
- prev - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.OutlierScoreAdapter
-
Previous value.
- prevDist - Variable in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DistanceResultAdapter
-
Distance of previous.
- 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.
- PRIM_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
-
Adapter class for running Prim's minimum spanning tree algorithm.
- primary - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
-
Indexes: primary assignment (current or best), secondary assignment
(second best or worst).
- 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,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Primitive distance function that is defined on some kind of object.
- PrimitiveDistanceQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance
-
Run a database query in a database context.
- PrimitiveDistanceQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
-
Constructor.
- PrimitiveDistanceSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance
-
Combination query class, for convenience.
- PrimitiveDistanceSimilarityQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O, D>, PrimitiveSimilarityFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery
-
Constructor.
- PrimitiveDoubleDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Interface for distance functions that can provide a raw double value.
- PrimitiveDoubleSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Interface for similarity functions that can provide a raw double value.
- PrimitiveSimilarityFunction<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Interface SimilarityFunction describes the requirements of any similarity
function.
- PrimitiveSimilarityQuery<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.similarity
-
Run a database query in a database context.
- PrimitiveSimilarityQuery(Relation<? extends O>, PrimitiveSimilarityFunction<? super O, D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery
-
Constructor.
- 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.
- 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.
- priority() - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
-
Priority / badness: difference between best and worst.
- 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.RandomSamplingStreamFilter.Parameterizer
-
Probability
- prob - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter
-
Probability
- PROB_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.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
-
- 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_STOP - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
-
- processColumnTypes(ArrayList<String>, ArrayList<String>, int[], TypeInformation[], int[]) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
-
Process the column types (and names!)
- processCovarMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Process an existing Covariance Matrix.
- processCovarMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
Process an existing covariance Matrix.
- processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
-
- processDatabase(Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder
-
Compute Covariance Matrix for a complete database.
- processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
Run PCA on the complete database.
- processDatabase(Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder
-
Compute Covariance Matrix for a complete database.
- processDataPagesDouble(SpatialPrimitiveDoubleDistanceFunction<? super V>, N, N, List<DoubleDistanceKNNHeap>, List<DoubleDistanceKNNHeap>) - 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.
- processDataPagesOptimize(SpatialPrimitiveDistanceFunction<V, D>, List<? extends KNNHeap<D>>, List<? extends KNNHeap<D>>, 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.
- processed - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
-
The number of items already processed at a time being.
- processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
-
Holds a set of processed ids.
- processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
-
Holds a set of processed ids.
- processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
-
Holds a set of processed ids.
- processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
-
Holds a set of processed ids.
- processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
-
Holds a set of processed ids.
- processElementClipping(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
-
Process a 'clipping' Element in the XML stream.
- processElementCluster(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 V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
-
- processIds(DBIDs, Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder
-
Compute Covariance Matrix for a collection of database IDs.
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner
-
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Run PCA on a collection of database IDs.
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
Run PCA on a collection of database IDs.
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder
-
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder
-
Compute Covariance Matrix for a collection of database IDs.
- processIds(DBIDs, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder
-
Weighted Covariance Matrix for a set of IDs.
- 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>, BitSet, int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis
-
Perform clusterings evaluation
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler
-
- processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultProcessor
-
Process a result.
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjectorFactory
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotFactory
-
- processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.ProjectorFactory
-
Add projections for the given result (tree) to the result tree.
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
-
Process a particular result.
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory
-
Add visualizers for the given result (tree) to the context.
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.ClusterEvaluationVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
-
- processNewResult(HierarchicalResult, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization
-
- processNewResult(HierarchicalResult, Result) - Method in class tutorial.outlier.SimpleScoreDumper
-
- processQueryResult(DistanceDBIDList<D>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner
-
- processQueryResult(DistanceDBIDList<D>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner
-
Run PCA on a QueryResult Collection.
- processQueryResult(DistanceDBIDList<D>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner
-
Run PCA on a QueryResult Collection.
- processQueryResults(DistanceDBIDList<D>, Relation<? extends V>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
-
- processQueryResults(DistanceDBIDList<D>, Relation<? extends V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder
-
- processQueryResults(DistanceDBIDList<D>, Relation<? extends V>, int) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder
-
Compute Covariance Matrix for a QueryResult Collection.
- processQueryResults(DistanceDBIDList<D>, Relation<? extends V>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder
-
Compute Covariance Matrix for a QueryResult Collection.
- processQueryResults(DistanceDBIDList<D>, Relation<? extends V>, 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
-
Provides 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.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, TIntSet, V) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster
-
Provides a new cluster with the specified parameters.
- progress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
-
Log a Progress object.
- Progress - Interface in de.lmu.ifi.dbs.elki.logging.progress
-
Generic Progress logging interface.
- progress - Variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord
-
Progress storage
- progresses - Variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker
-
Set of potentially active progresses.
- progressiveApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
-
The progressive approximation.
- ProgressiveEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
The ProgressiveEigenPairFilter sorts the eigenpairs in descending order of
their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is
higher than the given percentage of the sum of all eigenvalues as strong
eigenpairs.
- ProgressiveEigenPairFilter(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter
-
Constructor.
- ProgressiveEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
-
Parameterization class.
- ProgressiveEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer
-
- progressiveKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
-
Determines and returns the progressive approximation for the knn distances
of this node as the maximum of the progressive approximations of all
entries.
- ProgressLogRecord - Class in de.lmu.ifi.dbs.elki.logging.progress
-
Log record for progress messages.
- ProgressLogRecord(Level, Progress) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord
-
Constructor for progress log messages.
- ProgressTracker - Class in de.lmu.ifi.dbs.elki.logging.progress
-
Class to keep track of "alive" progresses.
- ProgressTracker() - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker
-
- proj - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
-
Final projection after analysis run.
- proj - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractHashFunctionFamily
-
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.VisualizationTask
-
The current 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_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, BitSet, NumberVector.Factory<V, ?>) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil
-
Provides a new NumberVector as a projection on the specified attributes.
- project(NumberVector<?>) - 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<?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection
-
- 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(Vector) - 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(Vector) - 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(Vector) - 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(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a data vector from data space to scaled space.
- ProjectedCentroid - Class in de.lmu.ifi.dbs.elki.math.linearalgebra
-
Centroid only using a subset of dimensions.
- ProjectedCentroid(BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
-
Constructor for updating use.
- projectedEnergy(Relation<V>, DistanceQuery<V, DoubleDistance>, ORCLUS<V>.ORCLUSCluster, ORCLUS<V>.ORCLUSCluster, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
-
Computes the projected energy of the specified clusters.
- projectedEnergy - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
-
- 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<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.projected
-
Class to proxy kNN queries.
- ProjectedIndex.ProjectedKNNQuery(DistanceQuery<O, D>, KNNQuery<I, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery
-
Constructor.
- ProjectedIndex.ProjectedRangeQuery<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.projected
-
Class to proxy range queries.
- ProjectedIndex.ProjectedRangeQuery(DistanceQuery<O, D>, RangeQuery<I, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery
-
Constructor.
- ProjectedIndex.ProjectedRKNNQuery<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.projected
-
Class to proxy RkNN queries.
- ProjectedIndex.ProjectedRKNNQuery(DistanceQuery<O, D>, RKNNQuery<I, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery
-
Constructor.
- 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.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.
- 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.
- 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.
- projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
-
Projectors to use
- projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer
-
- projectors - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
-
Projectors to use.
- projectRelativeDataToRenderSpace(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection
-
Project a relative data vector from data space to rendering space.
- projectRelativeDataToRenderSpace(Vector) - 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(Vector) - 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(Vector) - 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(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a relative data vector from data space to scaled space.
- projectRelativeRenderToDataSpace(Vector, 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(Vector, 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(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
-
- projectRelativeRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
-
Project a relative vector from rendering space to scaled space.
- projectRelativeRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a relative vector from rendering space to scaled space.
- projectRelativeScaledToDataSpace(Vector, 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(Vector, 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(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
-
- projectRelativeScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
-
Project a relative vector from scaled space to rendering space.
- projectRelativeScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a relative vector from scaled space to rendering space.
- projectRenderToDataSpace(Vector, NumberVector.Factory<NV, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection
-
Project a vector from rendering space to data space.
- projectRenderToDataSpace(Vector, NumberVector.Factory<NV, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a vector from rendering space to data space.
- projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
-
- projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
-
Project a vector from rendering space to scaled space.
- projectRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a vector from rendering space to scaled space.
- projectScaledToDataSpace(Vector, NumberVector.Factory<NV, ?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection
-
Project a vector from scaled space to data space.
- projectScaledToDataSpace(Vector, NumberVector.Factory<NV, ?>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a vector from scaled space to data space.
- projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
-
- projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection
-
Project a vector from scaled space to rendering space.
- projectScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection
-
Project a vector from scaled space to rendering space.
- 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 - Static variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject
-
Static (empty) prototype
- proxy(DistanceQuery<O, D>) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction
-
Static method version.
- ProxyDatabase - Class in de.lmu.ifi.dbs.elki.database
-
A proxy database to use e.g. for projections and partitions.
- ProxyDatabase(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase
-
Constructor.
- ProxyDatabase(DBIDs, Iterable<Relation<?>>) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase
-
Constructor.
- ProxyDatabase(DBIDs, Relation<?>...) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase
-
Constructor.
- ProxyDatabase(DBIDs, Database) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase
-
Constructor, proxying all relations of an existing database.
- ProxyDistanceFunction<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Distance function to proxy computations to another distance (that probably
was run before).
- ProxyDistanceFunction(DistanceQuery<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction
-
Constructor
- ProxyView<O> - Class in de.lmu.ifi.dbs.elki.database.relation
-
A virtual partitioning of the database.
- ProxyView(Database, DBIDs, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProxyView
-
Constructor.
- prune(Map<BitSet, Integer>, BitSet[], int) - Method in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
-
Prunes a given set of candidates to keep only those BitSets where all
subsets of bits flipping one bit are frequent already.
- prune - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer
-
- prune - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
-
- 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
-
- ps - Variable in class tutorial.distancefunction.MultiLPNorm.Parameterizer
-
P exponents
- ps - Variable in class tutorial.distancefunction.MultiLPNorm
-
The exponents
- 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, DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
-
Deprecated.
- put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
-
- 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, DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
-
Deprecated.
- put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
-
- 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
-
- 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, DoubleDistance) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDistanceDataStore
-
- put(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDistanceDataStore
-
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
-
- 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(DBID, DBID, D, Map<DBIDPair, D>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
-
Puts the specified distance value for the given ids to the distance cache.
- put(String, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile
-
Add/Replace a saved setting
- put(double) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
-
Process a single double value.
- put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
-
Process a whole array of double values.
- put(Collection<Double>) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
-
Process a whole collection of double values.
- put(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
-
Process a whole collection of Integer values.
- put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add a single value with weight 1.0.
- put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add data with a given weight.
- put(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add a single value with weight 1.0.
- put(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add data with a given weight.
- put(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add a single value with weight 1.0.
- put(NumberVector<?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid
-
Add data with a given weight.
- put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add a single value with weight 1.0.
- put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add data with a given weight.
- put(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add a single value with weight 1.0.
- put(Vector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add data with a given weight.
- put(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add a single value with weight 1.0.
- put(NumberVector<?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Add data with a given weight.
- put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
-
Add a single value with weight 1.0.
- put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
-
Add data with a given weight.
- put(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
-
Add a single value with weight 1.0.
- put(NumberVector<?>, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
-
Add data with a given weight.
- put(double) - Method in class de.lmu.ifi.dbs.elki.math.Mean
-
Add a single value with weight 1.0
- put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.Mean
-
Add data with a given weight.
- put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.Mean
-
Join the data of another MeanVariance instance.
- put(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
-
Add a single value with weight 1.0
- put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
-
Add data with a given weight.
- put(Mean) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
-
Join the data of another MeanVariance instance.
- put(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(T) - Method in class de.lmu.ifi.dbs.elki.math.MinMax
-
Process a single value.
- put(T[]) - Method in class de.lmu.ifi.dbs.elki.math.MinMax
-
Process a whole array of values.
- put(Iterable<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax
-
Process a whole collection of values.
- put(SortedSet<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax
-
Process a whole collection of values.
- put(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
-
- putData(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram
-
- putData(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram
-
- 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.ArrayDoubleDistanceStore
-
- 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.MapIntegerDBIDDoubleDistanceStore
-
- 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.
- putDouble(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDistanceDataStore
-
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.
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