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

P

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

Keeps the currently set p.

p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Parameter p.

p - Static variable in class de.lmu.ifi.dbs.elki.math.ErrorFunctions

p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression

The order of the polynom.

P_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

OptionID for LPNormDistanceFunction.P_PARAM

P_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

OptionID for MkAppTree.P_PARAM

P_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

P parameter

P_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Parameter for p

pad(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.output.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.output.FormatUtil

Pad a string to a given length by adding whitespace to the left.

Page<P extends Page<P>> - 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_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

OptionID for TreeIndex.PAGE_SIZE_PARAM

PAGE_SIZE_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Parameter to specify the size of a page in bytes, must be an integer greater than 0.

pageAccess - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache

The number of read accesses

PageFile<P extends Page<P>> - Class in de.lmu.ifi.dbs.elki.persistent

Abstract class implementing general methods of a PageFile.

PageFile() - Constructor for class de.lmu.ifi.dbs.elki.persistent.PageFile

Creates a new PageFile.

PageHeader - Interface in de.lmu.ifi.dbs.elki.persistent

Defines the requirements for a header of a persistent page file.

pageSize - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Holds the value of TreeIndex.PAGE_SIZE_PARAM.

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

The size of a page in bytes.

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.PageFile

The size of a page in Bytes.

pageSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The size of a page (deap) 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

Pair.Compare<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Compare two SimplePairs based on two comparators

Pair.Compare(Comparator<FIRST>, Comparator<SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.Compare

Provides a comparator for an Pair based on the given Comparator for type P.

Pair.CompareByFirst<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Compare two SimplePairs based on a comparator for the first component.

Pair.CompareByFirst(Comparator<FIRST>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareByFirst

Provides a comparator for an Pair based on the given Comparator for type P.

Pair.CompareBySecond<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Compare two SimplePairs based on a comparator for the second component.

Pair.CompareBySecond(Comparator<SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareBySecond

Provides a comparator for an Pair based on the given Comparator for type P.

Pair.CompareSwapped<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Compare two SimplePairs based on two comparators, but by second component first.

Pair.CompareSwapped(Comparator<FIRST>, Comparator<SECOND>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair.CompareSwapped

Provides a comparator for an Pair based on the given Comparator for type P.

PairCountingFMeasure - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting

Compare two clustering results using a pair-counting F-Measure.

PairCountingFMeasure() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.PairCountingFMeasure

PairGeneratorMerge - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Merge the output of multiple generators.

PairGeneratorMerge(PairSortedGeneratorInterface[]) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorMerge

Set up merging generator.

PairGeneratorNoise - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Generator for noise points.

PairGeneratorNoise(Cluster<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise

Crate new generator for a base cluster object.

PairGeneratorSingleCluster - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Generate sorted ID pairs for a Cluster.

PairGeneratorSingleCluster(Cluster<?>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster

Generate pairs for a hierarchical cluster.

PairSortedGenerator - Class in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Implement the common functionality of caching the current result in a base class.

PairSortedGenerator() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairSortedGenerator

PairSortedGeneratorInterface - Interface in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Pair generator interface.

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_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

Parameter progressive alpha.

param - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint

Parameter possibly to be checked.

Parameter<T,C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Abstract class for specifying a parameter.

Parameter(OptionID, List<ParameterConstraint<C>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Constructs a parameter with the given optionID, and constraints.

Parameter(OptionID, ParameterConstraint<C>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Constructs a parameter with the given optionID, and constraint.

Parameter(OptionID, List<ParameterConstraint<C>>, boolean, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Constructs a parameter with the given optionID, constraints, and optional flag.

Parameter(OptionID, ParameterConstraint<C>, boolean, T) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Constructs a parameter with the given optionID, constraint, and optional flag.

Parameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter

Constructs a parameter with the given optionID.

ParameterConstraint<T> - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Interface for specifying parameter constraints.

parameterDifference(List<String>, List<String>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Returns an array that contains all elements of the first parameter array that are not contained by the second parameter array.

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<C,T extends C> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Global parameter constraint describing the dependency of a parameter ( Parameter) on a given flag (Flag).

ParameterFlagGlobalConstraint(Parameter<T, C>, List<ParameterConstraint<C>>, 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.

parameterizables - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

Hold parameterizables contained

ParameterizationFunction - Class in de.lmu.ifi.dbs.elki.data

A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.

ParameterizationFunction(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ParameterizationFunction

Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.

ParameterizationFunction.ExtremumType - Enum in de.lmu.ifi.dbs.elki.data

Available types for the global extremum.

ParameterizationFunction.ExtremumType() - Constructor for enum de.lmu.ifi.dbs.elki.data.ParameterizationFunction.ExtremumType

ParameterizationFunctionLabelParser - Class in de.lmu.ifi.dbs.elki.parser

Provides a parser for parsing one point per line, attributes separated by whitespace.

ParameterizationFunctionLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.ParameterizationFunctionLabelParser

Provides a parser for parsing one point per line, attributes separated by whitespace.

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.utilities.optionhandling.constraints.EqualSizeGlobalConstraint

List parameters to be tested

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NotEqualValueGlobalConstraint

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.OptionHandler

Contains the optionHandler's options, the option names are used as the map's keys

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(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Returns the index of the parent of the node at index k, nullIndex if k is the root.

parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

The distance from the routing object of this entry to its parent's routing object.

parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

The distance from the underlying data object to its parent's routing object.

parentids - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster

Ids in parent clusters

parentInCache(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Returns the parent of the specified deap in the cache.

parentIndex(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Returns the index of the parent of the specified deap in this heap.

parentIndex(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Returns the index of the parent of the deap with the specified index in this heap.

parentPath - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexPath

Path representing the parent, null if lastPathComponent represents the root.

parents - Variable in class de.lmu.ifi.dbs.elki.data.cluster.SimpleHierarchy

Storage for parents

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.BitVectorLabelParser

parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.parser.DistanceParser

Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelTransposingParser

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.DoubleVectorProjectionParser

Returns as ParsingResult a projection on a selected subset of attributes.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.DoubleVectorRandomProjectionParser

Returns as ParsingResult a projection on a randomly selected subset of attributes.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.SparseFloatVectorProjectionParser

Returns as ParsingResult a projection on a selected subset of attributes.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.meta.SparseFloatVectorRandomProjectionParser

Returns as ParsingResult a projection on a randomly selected subset of attributes.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.ParameterizationFunctionLabelParser

parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.parser.Parser

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.parser.RealVectorLabelParser

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.SparseBitVectorLabelParser

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser

parseBitSet(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a new BitSet initialized to the values represented by the specified String only containing 0 and 1 values.

parseBitSet(char[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a new BitSet initialized to the values represented by the specified char array only containing '0' and '1' values.

parseDoubles(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a new Double array initialized to the values represented by the specified String and separated by comma, as performed by the valueOf method of class Double.

parseFloats(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a new Float array initialized to the values represented by the specified String and separated by comma, as performed by the valueOf method of class Float.

parseLine(String) - Method in interface de.lmu.ifi.dbs.elki.parser.LinebasedParser

Parse a single line into a database object

parseLine(String) - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

parseLine(String) - Method in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser

parser - Variable in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection

Holds the instance of the parser specified by InputStreamDatabaseConnection.PARSER_PARAM.

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Parser<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.parser

A Parser shall provide a ParsingResult by parsing an InputStream.

PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection

OptionID for InputStreamDatabaseConnection.PARSER_PARAM

PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

OptionID for FileBasedDoubleDistanceFunction.PARSER_PARAM

PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

OptionID for FileBasedFloatDistanceFunction.PARSER_PARAM

PARSER_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection

Parameter to specify the parser to provide a database, must extend Parser.

PARSER_PARAM - 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_PARAM - 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.

parsers - Variable in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

Holds the instances of the parsers specified by MultipleFileBasedDatabaseConnection.PARSERS_PARAM.

PARSERS_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

OptionID for MultipleFileBasedDatabaseConnection.PARSERS_PARAM

PARSERS_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

Optional parameter to specify the parsers to provide a database, must extend Parser.

parseSelectedBits(BitSet, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns a string that represents the selected bits of the specified BitSet, while the first bit starts with 1.

parseVector(String) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Parse a string into a vector.

ParsingResult<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.parser

Provides a list of database objects and labels associated with these objects.

ParsingResult(List<Pair<O, List<String>>>) - Constructor for class de.lmu.ifi.dbs.elki.parser.ParsingResult

Provides a list of database objects and labels associated with these objects.

partition(Map<Integer, List<Integer>>) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

partition(Map<Integer, List<Integer>>, Class<? extends Database<O>>, List<String>) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

partition(Map<Integer, List<Integer>>, Class<? extends Database<O>>, List<String>) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Returns a Map of partition IDs to Databases of the specified class according to the specified Map of partition IDs to Lists of IDs.

partition(Map<Integer, List<Integer>>) - Method in interface de.lmu.ifi.dbs.elki.database.Database

Returns a Map of partition IDs to Databases according to the specified Map of partition IDs to Lists of IDs.

partition(List<N>, int, int, BulkSplit.Strategy) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit

Partitions the specified feature vectors according to the chosen strategy.

PARTITION_ALGORITHM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

OptionID for COPAC.PARTITION_ALGORITHM_PARAM

PARTITION_ALGORITHM_PARAM - 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_DB_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

OptionID for {#PARTITION_DB_PARAM}

PARTITION_DB_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Parameter to specify the database class for each partition, must extend Database.

partitionAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Holds the instance of the partitioning algorithm specified by COPAC.PARTITION_ALGORITHM_PARAM.

partitionDatabase - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Holds the instance of the partition database specified by COPAC.PARTITION_DB_PARAM.

partitionDatabaseParameters - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Holds the parameters of the partition databases.

PartitionsFromClustering - Class in de.lmu.ifi.dbs.elki.database

This class derives a database partitioning based on a clustering result.

PartitionsFromClustering() - Constructor for class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering

pathByAddingChild(TreeIndexPathComponent<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexPath

Returns a new path containing all the elements of this object plus child.

pathComponent - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.Enlargement

The path information of the entry representing the node.

pattern - Variable in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

A pattern to define the required input format.

pattern - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalDistanceFunctionPatternConstraint

Pattern parameter to be checked for validity.

PatternParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling

Parameter class for a parameter specifying a pattern.

PatternParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.PatternParameter

Constructs a pattern parameter with the given optionID.

PatternParameter(OptionID, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.PatternParameter

Constructs a pattern parameter with the given optionID, and default value.

PatternParameter(OptionID, ParameterConstraint<String>, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.PatternParameter

Constructs a pattern parameter with the given optionID, constraints and default value.

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

Holds the object performing the pca.

pca - Variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor

The Filtered PCA Runner

pca - Variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

PCA utility object

PCA_COVARIANCE_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

OptionID for PCARunner.COVARIANCE_PARAM

PCA_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

OptionID for HiCOPreprocessor.PCA_DISTANCE_PARAM

PCA_DISTANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

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

OptionID for PCAFilteredRunner.EIGENPAIR_FILTER_PARAM

PCABasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends HiCOPreprocessor<V>,D extends CorrelationDistance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Provides the correlation distance for real valued vectors.

PCABasedCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction

Provides a PCABasedCorrelationDistanceFunction, adding parameter PCABasedCorrelationDistanceFunction.DELTA_PARAM to the option handler additionally to parameters of super class.

pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor

The distance function for the PCA.

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 RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

PCA runner that will do dimensionality reduction.

PCAFilteredRunner() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Initialize class with parameters

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 RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Class to run PCA on given data.

PCARunner() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Constructor for the covariance runner.

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

OptionID for LCSSDistanceFunction.PDELTA_PARAM

PDELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction

PDELTA parameter

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

OptionID for LCSSDistanceFunction.PEPSILON_PARAM

PEPSILON_PARAM - 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

Holds the value of KNNDistanceOrder.PERCENTAGE_PARAM.

PERCENTAGE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder

OptionID for KNNDistanceOrder.PERCENTAGE_PARAM

PERCENTAGE_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistanceOrder

Parameter to specify the average percentage of distances randomly choosen 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() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

Provides a new EigenPairFilter that 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 string eigenpairs.

perimeter() - Method in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

Computes the perimeter of this HyperBoundingBox.

permutePivot(IntIntPair, IntIntPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

permutes two matrix rows and two matrix columns

PersistentHeap<K extends Comparable<K> & Serializable,V extends Identifiable & Serializable> - Class in de.lmu.ifi.dbs.elki.utilities.heap

Persistent implementation of a heap-based priority queue.

PersistentHeap(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Creates a new persistent heap with the specified parameters.

PersistentHeap(String, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

Creates a new persistent heap with the specified parameters.

PersistentPageFile<P extends Page<P>> - Class in de.lmu.ifi.dbs.elki.persistent

A PersistentPageFile stores objects persistently that implement the Page interface.

PersistentPageFile(PageHeader, int, Cache<P>, String) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Creates a new PersistentPageFile from an existing file.

phi(double) - Static method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

Standardized Gaussian PDF

phi(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

Gaussian distribution PDF

pi - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

The values of the function Pi of the pointer representation.

piv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Internal storage of pivot vector.

pivotOperation(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

performs a pivot operation

pivsign - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Row and column dimensions, and pivot sign.

plot - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplacer

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer.ROCWindow

plotMarker(Document, Element, double, double, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Draw an marker used in scatter plots.

plotSeries(int, int) - Method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

plus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic

Adds the given number to this number.

plus(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Returns a bit vector corresponding to an XOR operation on this and the specified bit vector.

plus(DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

plus(V) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a new FeatureVector of V that is the sum of this FeatureVector of V and the given FeatureVector of V.

plus(FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

plus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

plus(SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

plus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance

plus(D) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

plus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.Distance

Returns a new distance as sum of this distance and the given distance.

plus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance

plus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance

plus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance

plus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

plus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

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.

plusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

A = A + B

points - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

The generated cluster points.

points - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic

Cluster points

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<O extends FeatureVector<O,?>> - 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() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.

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.

pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorNoise

Current position.

pos1 - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster

Position in first set

pos2 - Variable in class de.lmu.ifi.dbs.elki.evaluation.paircounting.generator.PairGeneratorSingleCluster

Position in second set

positive_class_name - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

Stores the "positive" class.

POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

OptionID for ComputeROCCurve.POSITIVE_CLASS_NAME_PARAM

POSITIVE_CLASS_NAME_PARAM - Variable in class de.lmu.ifi.dbs.elki.evaluation.ComputeROCCurve

The distance function to determine the reachability distance between database objects.

postDelete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.

postDelete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Performs necessary operations after deleting the specified object.

postDelete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Performs necessary operations after deleting the specified object.

postDelete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Performs necessary operations after deleting the specified object.

postDelete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Performs necessary operations after deleting the specified object.

PQNode<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util

Encapsulates the attributes for a object that can be stored in a heap.

PQNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.PQNode

Empty constructor for serialization purposes.

PQNode(D, Integer, Integer) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util.PQNode

Creates a new heap node with the specified parameters.

predecessorID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS.COEntry

The id of the entry's predecessor.

predecessorID - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderEntry

The id of the entry's predecessor.

PreDeCon<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

PreDeCon computes clusters of subspace preference weighted connected points.

PreDeCon() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon

PreDeConPreprocessor<D extends Distance<D>,V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing

Preprocessor for PreDeCon local dimensionality and locally weighted matrix assignment to objects of a certain database.

PreDeConPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor

Provides a new Preprocessor that computes the local dimensionality and locally weighted matrix of objects of a certain database.

PREFERENCE_VECTOR - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

The association id to associate a preference vector.

PreferenceVectorBasedCorrelationDistance - Class in de.lmu.ifi.dbs.elki.distance

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.PreferenceVectorBasedCorrelationDistance

Empty constructor for serialization purposes.

PreferenceVectorBasedCorrelationDistance(int, int, double, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

Constructs a new CorrelationDistance object.

PreferenceVectorPreprocessor<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.preprocessing

Marker interface for preprocessors computing preference vectors.

prefix - Variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil.DirClassIterator

prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Prefix for the IDs generated.

prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.Thumbnailer

Prefix storage.

preInsert(MkAppEntry<D, N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Performs necessary operations before inserting the specified entry.

preInsert(MkCoPEntry<D, N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Performs necessary operations before inserting the specified entry.

preInsert(MkMaxEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Adapts the knn distances before insertion of the specified entry.

preInsert(MkMaxEntry<D>, MkMaxEntry<D>, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Adapts the knn distances before insertion of entry q.

preInsert(MkTabEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

preInsert(MTreeEntry<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Does nothing because no operations are necessary before inserting an entry.

preInsert(DeLiCluEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Performs necessary operations before inserting the specified entry.

preInsert(RdKNNEntry<D, N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Performs necessary operations before inserting the specified entry.

preInsert(RdKNNEntry<D, N>, RdKNNEntry<D, N>, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Adapts the knn distances before insertion of entry q.

preInsert(SpatialEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTree

Performs necessary operations before inserting the specified entry.

preInsert(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Performs necessary operations before inserting the specified entry.

prependResult(Result) - Method in class de.lmu.ifi.dbs.elki.result.MultiResult

Insert a new result at the beginning of the results list

preprocessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Holds the instance of preprocessor specified by COPAC.PREPROCESSOR_PARAM.

Preprocessor<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.preprocessing

Defines the requirements for classes that do some preprocessing steps for objects of a certain database.

preprocessor - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Holds the instance of the preprocessor specified by PreprocessorHandler.PREPROCESSOR_PARAM.

preprocessor1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF

Preprocessor Step 1

preprocessor2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF

Preprocessor Step 2

PREPROCESSOR_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

OptionID for COPAC.PREPROCESSOR_PARAM

PREPROCESSOR_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

OptionID for PreprocessorHandler.PREPROCESSOR_PARAM

PREPROCESSOR_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Parameter to specify the preprocessor to derive partition criterion, must extend HiCOPreprocessor.

PREPROCESSOR_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Parameter to specify the preprocessor to be used, must extend at least Preprocessor.

PreprocessorBasedMeasurementFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance

Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database.

preprocessorClass() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC

preprocessorClass() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Returns the class actually used as VarianceAnalysisPreprocessor.

preprocessorClass() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon

PreprocessorClient<P extends Preprocessor<O>,O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.preprocessing

Interface defining the requirements for classes using a PreprocessorHandler to run a preprocessor on a certain database.

preprocessorHandler - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction

The handler class for the preprocessor.

preprocessorHandler - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

The handler class for the preprocessor.

preprocessorHandler - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPreprocessorBasedSimilarityFunction

The handler class for the preprocessor.

PreprocessorHandler<O extends DatabaseObject,P extends Preprocessor<O>> - Class in de.lmu.ifi.dbs.elki.preprocessing

Handler class for all objects (e.g. distance functions) using a preprocessor running on a certain database.

PreprocessorHandler(PreprocessorClient<P, O>) - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Provides a handler class for all objects using a preprocessor, adding parameter PreprocessorHandler.PREPROCESSOR_PARAM and flag PreprocessorHandler.OMIT_PREPROCESSING_FLAG to the option handler additionally to parameters of super class.

PrettyMarkers - Class in de.lmu.ifi.dbs.elki.visualization.svg

Marker library achieving a larger number of styles by combining different shapes with different colors.

PrettyMarkers(String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Constructor

PrettyMarkers() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Constructor without arguments, will use PrettyMarkers.DEFAULT_PREFIX as prefix.

prettyPrinter - Static variable in class de.lmu.ifi.dbs.elki.utilities.Description

A PrettyPrinter for the defined columns.

PrettyPrinter - Class in de.lmu.ifi.dbs.elki.utilities.output

Class for formatting output into table.

PrettyPrinter(int[], String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.output.PrettyPrinter

Provides a PrettyPrinter with specified columnWidth and specified separator.

print(int, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Print the matrix to stdout.

print(PrintWriter, int, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Print the matrix to the output stream.

print(NumberFormat, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Print the matrix to stdout.

print(PrintWriter, NumberFormat, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Print the matrix to the output stream.

print(List<O>, String, PrintStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Prints the given list to the specified PrintStream.

printDescription() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Print the description for the given parameter

printErrorMessage(Exception) - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Print an error message for the given error.

printHelp() - Method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Print the help message.

printObject(TextWriterStream, O, List<Pair<String, Object>>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter

printSettings(Database<O>, TextWriterStream, List<AttributeSettings>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter

Writes a header providing information concerning the underlying database and the specified parameter-settings.

priority() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Returns the priority of this interval (used as key in the heap).

PROBABILITY_CLUSTER_I_GIVEN_X - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

AssociationID to associate the probabilities for the clusters for a single instance.

PROBABILITY_X - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

AssociationID to associate the prior probability for an instance.

PROBABILITY_X_GIVEN_CLUSTER_I - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

AssociationID to associate the probabilities for an instance given a (set of) distribution(s).

process(double[], double, double, KernelDensityEstimator.Kernel, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator

Process a new array

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(Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a complete database

processDatabase(Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on the complete database

processDatabase(Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

Compute Covariance Matrix for a complete database

processDataPages(N, N, HashMap<Integer, KNNList<D>>, D) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

processed - Variable in class de.lmu.ifi.dbs.elki.utilities.progress.AbstractProgress

The number of items already processed at a time being.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

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.application.GeneratorXMLSpec

Process a 'clipping' Element in the XML stream.

processElementCluster(Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'cluster' Element in the XML stream.

processElementDataset(Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'dataset' Element in the XML stream.

processElementNormal(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'normal' Element in the XML stream.

processElementPoint(LinkedList<Vector>, Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Parse a 'point' element (point vector for a static cluster)

processElementRotate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'rotate' Element in the XML stream.

processElementStatic(Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'static' cluster Element in the XML stream.

processElementTranslate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Process a 'translate' Element in the XML stream.

processElementUniform(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

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(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a collection of database IDs

processIds(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.KernelCovarianceMatrixBuilder

Returns the local kernel matrix of the specified ids.

processIds(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Run PCA on a collection of database IDs

processIds(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on a collection of database IDs

processIds(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

Compute Covariance Matrix for a collection of database IDs

processIds(Collection<Integer>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder

Weighted Covariance Matrix for a set of IDs.

processQueryResult(Collection<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Run PCA on a QueryResult Collection

processQueryResult(Collection<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on a QueryResult Collection

processQueryResults(Collection<DistanceResultPair<D>>, Database<V>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

processQueryResults(Collection<DistanceResultPair<D>>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

processQueryResults(Collection<DistanceResultPair<D>>, Database<V>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

processResult(Database<O>, R) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler

Process the result... by discarding

processResult(Database<O>, R) - Method in interface de.lmu.ifi.dbs.elki.result.ResultHandler

Process a result.

processResult(Database<O>, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter

Process a single result.

processResult(Database<O>, MultiResult) - Method in class de.lmu.ifi.dbs.elki.visualization.ResultROCCurveVisualizer

PROCLUS<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Provides the PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.

PROCLUS() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Provides the PROCLUS algorithm, adding parameter PROCLUS.M_I_PARAM to the option handler additionally to parameters of super class.

PROCLUS.PROCLUSCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Encapsulates the attributes of a cluster.

PROCLUS.PROCLUSCluster(Set<Integer>, Set<Integer>, V) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster

Provides a new cluster with the specified parameters.

progress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Log a PROGRESS message.

progress(Progress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a Progress object.

progress(Progress, Progress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a Progress object.

Progress - Interface in de.lmu.ifi.dbs.elki.utilities.progress

Generic Progress logging interface.

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() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

Provides a new EigenPairFilter that 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 string eigenpairs.

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.

project(Matrix, ParameterizationFunction) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Projects the specified parameterization function into the subspace described by the given basis.

project(DoubleVector, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Provides a new DoubleVector as a projection on the specified attributes.

project(SparseFloatVector, BitSet) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Provides a new SparseFloatVector as a projection on the specified attributes.

ProjectedClustering<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.

ProjectedClustering() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

Adds parameters ProjectedClustering.K_PARAM, ProjectedClustering.K_I_PARAM, and ProjectedClustering.L_PARAM to the option handler additionally to parameters of super class.

ProjectedDBSCAN<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Provides an abstract algorithm requiring a VarianceAnalysisPreprocessor.

ProjectedDBSCAN() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Provides the abstract algorithm for variance analysis based DBSCAN, adding parameters ProjectedDBSCAN.EPSILON_PARAM, ProjectedDBSCAN.MINPTS_PARAM, ProjectedDBSCAN.LAMBDA_PARAM, and ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM to the option handler additionally to parameters of super class.

ProjectedDBSCANPreprocessor<D extends Distance<D>,V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing

Abstract superclass for preprocessor of algorithms extending the ProjectedDBSCAN algorithm.

ProjectedDBSCANPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

Provides a new Preprocessor that computes the correlation dimension of objects of a certain database.

projectedEnergy(Database<V>, ORCLUS<V>.ORCLUSCluster, ORCLUS<V>.ORCLUSCluster, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Computes the projected energy of the specified clusters.

projectedEnergy - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy

projection(ORCLUS<V>.ORCLUSCluster, V) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Returns the projection of real vector o in the subspace of cluster c.

projection(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Projects this row vector into the subspace formed by the specified matrix v.

ProjectionParser<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.parser.meta

A ProjectionParser projects the ParsingResult of its base parser onto a subspace specified by a BitSet.

ProjectionParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.ProjectionParser

Sets the parameter ProjectionParser.SELECTED_ATTRIBUTES_PARAM.

promote(N, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit

Selects the second object of the specified node to be promoted and stored into the parent node and partitions the entries according to the M_LB_DIST strategy.

promote(N, DistanceFunction<O, D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit

Selects two objects of the specified node to be promoted and stored into the parent node.

Properties - Class in de.lmu.ifi.dbs.elki.properties

Provides management of properties.

Properties(String) - Constructor for class de.lmu.ifi.dbs.elki.properties.Properties

Provides the properties as defined in the designated file.

properties - Variable in class de.lmu.ifi.dbs.elki.properties.Properties

Stores the properties as defined by a property-file.

PROPERTY_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.properties.Properties

The pattern to split for separate entries in a property string, which is a ",".

PropertyDescription - Class in de.lmu.ifi.dbs.elki.properties

Provides a pair of entry of a property and the proper description.

PropertyDescription(String, String) - Constructor for class de.lmu.ifi.dbs.elki.properties.PropertyDescription

Provides a pair of entry of a property and the proper description.

PropertyName - Class in de.lmu.ifi.dbs.elki.properties

todo: remove old property names?

PropertyName(String, Class<?>) - Constructor for class de.lmu.ifi.dbs.elki.properties.PropertyName

Provides a new PropertyName of given name and type.

prune(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

Holds the value of CLIQUE.PRUNE_FLAG.

PRUNE_FLAG - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Flag to indicate that 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.

PRUNE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

OptionID for CLIQUE.PRUNE_FLAG

pruneDenseSubspaces(SortedSet<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Performs a MDL-based pruning of the specified dense sunspaces as described in the CLIQUE algorithm.

PublicationColorLibrary - Class in de.lmu.ifi.dbs.elki.visualization.colors

Simple color library with a small number of hand-picked colors that provide sufficient difference when printed (and that should work with all printers).

PublicationColorLibrary() - Constructor for class de.lmu.ifi.dbs.elki.visualization.colors.PublicationColorLibrary

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Publish a log record.

purpose - Variable in class de.lmu.ifi.dbs.elki.utilities.Description

A description of the purpose of an algorithm.

put(AssociationID<T>, Map<Integer, T>) - Method in class de.lmu.ifi.dbs.elki.database.AssociationMaps

Associates a new mapping from object ids to associated objects for a given AssociationID.

put(AssociationID<T>, T) - Method in class de.lmu.ifi.dbs.elki.database.Associations

Sets the specified object under the given AssociationID.

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(Double[]) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Process a whole array of double values.

put(Iterable<Double>) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Process a whole collection of double values.

put(SortedSet<Double>) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Process a whole collection of double values.

put(double, T) - Method in class de.lmu.ifi.dbs.elki.math.Histogram

Put data at a given coordinate.

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Add data with a given weight

put(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Add a single value with weight 1.0

put(MeanVariance) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Join the data of another MeanVariance instance.

put(T) - Method in class de.lmu.ifi.dbs.elki.math.MinMax

Process a single value.

put(T[]) - Method in class de.lmu.ifi.dbs.elki.math.MinMax

Process a whole array of values.

put(Iterable<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax

Process a whole collection of values.

put(SortedSet<T>) - Method in class de.lmu.ifi.dbs.elki.math.MinMax

Process a whole collection of values.

put(int, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.StudentDistribution

Stores the specified t-values for the given degree of freedom.

put(Integer, Integer, D, Map<Pair<Integer, Integer>, D>) - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

Puts the specified distance value for the given ids to the distance cache.

put(P) - Method in interface de.lmu.ifi.dbs.elki.persistent.Cache

Adds an object to this cache.

put(P) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Adds a page to this cache.

put(Option<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

Adds the given option to the OptionHandler's current parameter map.

putAll(Associations) - Method in class de.lmu.ifi.dbs.elki.database.Associations

Adds all pairs of association ids and objects currently set in the given Associations object to this Associations object.

putBin(int, T) - Method in class de.lmu.ifi.dbs.elki.math.Histogram

Internal put function to handle the special cases of histogram resizing.

putIdElement(String, Element) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Add an object id.

putUnchecked(AssociationID<?>, Object) - Method in class de.lmu.ifi.dbs.elki.database.Associations

Sets the specified object under the given AssociationID.