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 curerntly set p.

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

Parameter p.

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

The order of the polynom.

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

Description for parameter P.

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

Description for parameter p.

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

Parameter P.

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

Parameter p.

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_D - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Description for parameter filename.

PAGE_SIZE_P - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex

Option string for parameter pagesize.

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

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.

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.PersistentPageFile

Serializes an object into a byte array.

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

Constructs a parameter with the given optionID.

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

Deprecated.

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

Interface for specifying parameter constraints.

parameterDifference(String[], String[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

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 parmeterization.

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.

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

A parameterization function decribes 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 decribing 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.Util

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

parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

The parent node of this node.

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.

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.algorithm.result.clustering.HierarchicalCluster

The parents of this cluster.

PARENTS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalClusters

Indicating the parents of a cluster in the string representation.

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

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.RealVectorLabelTransposingParser

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

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.

parseFloat - Variable in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser

If true, the real values are parsed as floats.

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.

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

The parser.

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

A Parser shall provide a ParsingResult by parsing an InputStream.

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

Description of parameter parser.

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

Description of parameter parser.

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

Label for parameter parser.

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

Label for parameter parser.

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

The parsers.

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.

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<ObjectAndLabels<O>>) - 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>>, String[]) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase

partition(Map<Integer, List<Integer>>, Class<? extends Database<O>>, 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<SpatialObject>, 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_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA

Parameter to specify the algorithm to apply to each partition, must extend Algorithm.

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

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

PARTITION_LABEL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.PartitionResults

A prefix for the partition-based class label.

PARTITION_MARKER - Static variable in class de.lmu.ifi.dbs.elki.algorithm.result.PartitionResults

A prefix for partition marks.

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

Holds the partitioning algorithm.

PartitionClusteringResults<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm.result.clustering

A result for a partitioning clustering algorithm providing a single result for a single partition.

PartitionClusteringResults(Database<O>, Map<Integer, ClusteringResult<O>>, Integer) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

A result for a partitioning algorithm providing a single result for a single partition.

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

Holds the class of the partition databases.

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

Holds the parameters of the partition databases.

partitionResults - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

Holds the results for the partitions.

PartitionResults<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm.result

A result for a partitioning algorithm providing a single result for a single partition.

PartitionResults(Database<O>, Map<Integer, Result<O>>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.PartitionResults

A result for a partitioning algorithm providing a single result for a single partition.

partitionResults - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.PartitionResults

Holds the results for the partitions.

partitionsIterator() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.PartitionClusteringResults

Returns an iterator over the partition IDs.

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.

pattern - Variable in class de.lmu.ifi.dbs.elki.utilities.PatternBasedFileFilter

Keeps the pattern to match a pathname against.

PatternBasedFileFilter - Class in de.lmu.ifi.dbs.elki.utilities

Provides a file filter based on a pattern to define acceptable pathnames.

PatternBasedFileFilter(Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.PatternBasedFileFilter

Provides a file filter based on a pattern to define acceptable pathnames.

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

Deprecated.

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

Deprecated.

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.result.clustering.HierarchicalCorrelationCluster

The PCA of this cluster.

PCA - Interface in de.lmu.ifi.dbs.elki.varianceanalysis

A PCA is a principal component analysis that belongs to an object stored in a database.

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

Description for parameter pca.

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

Parameter for PCA.

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

Description for parameter pca distance function.

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

Parameter for pca distance function.

PCA_EIGENPAIR_FILTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for AbstractPCA.EIGENPAIR_FILTER_PARAM

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

Provides the Correlation distance for real valued vectors.

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

Provides a CorrelationDistanceFunction with a pattern defined to accept Strings that define an Integer followed by a separator followed by a Double.

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

The classname of the PCA to determine the strong eigenvectors.

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

The distance function for the PCA.

pcaMatrix(Database<V>, Collection<Integer>) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LinearLocalPCA

Returns the covariance matrix of the specified ids.

pcaMatrix(Database<V>, Collection<Integer>) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalKernelPCA

Returns the local kernel matrix of the specified ids.

pcaMatrix(Database<V>, Collection<Integer>) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

Determines and returns the matrix that is used for performaing the pca.

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.

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

The parameter settings for the PCA.

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

The parameter settings for the PCA.

pcaParameters - Variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor

The parameter settings for the PCA.

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

Holds the value of KNNDistanceOrder.PERCENTAGE_PARAM.

percentage - Variable in class de.lmu.ifi.dbs.elki.logging.ProgressLogRecord

The percentage of progress.

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.varianceanalysis

The PercentageEigenPairFilter sorts the eigenpairs in decending 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.varianceanalysis.PercentageEigenPairFilter

Provides a new EigenPairFilter that sorts the eigenpairs in decending 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(MatrixPosition, MatrixPosition) - 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.

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

The values of the function Pi of the pointer representation.

pi - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.PointerRepresentation

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.

placeToAdd - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.BiclusteringTree

Specifies the position in which a child should be added.

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 that is the sum of this FeatureVector and the given FeatureVector.

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

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(D) - 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

PointerRepresentation<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.result

Provides the result of the single link algorithm SLINK.

PointerRepresentation(HashMap<Integer, Integer>, HashMap<Integer, SLINK<O, D>.SLinkDistance>, DistanceFunction<O, D>, Database<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.result.PointerRepresentation

Creates a new pointer representation.

PolynomialApproximation - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkapp.PolynomialApproximation

Empty constructor for serialization purposes.

PolynomialApproximation(double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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 definded 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 definded 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.

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

Performs necessary operations after deleting the specified object.

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.algorithm.result.clustering.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.algorithm.result.clustering.HierarchicalAxesParallelCorrelationClusters

Indicating the preference vector of a cluster in the string representation.

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

The association id to associate a preference vector.

preferenceVector - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.HierarchicalAxesParallelCorrelationCluster

The preference vector of this cluster.

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

Constructs a new CorrelationDistance object.

PreferenceVectorBasedCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

XXX unify CorrelationDistanceFunction and VarianceDistanceFunction

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

Provides a preference vector based CorrelationDistanceFunction.

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

Marker interface for preprocessors computing preference vectors.

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

Performs necessary operations before inserting the specified entry.

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

Performs necessary operations before inserting the specified entry.

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

Performs necessary operations before inserting the specified entry.

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

Performs necessary operations before inserting the specified 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>) - 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>, RdKNNEntry<D>, 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.

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

Holds the preprocessor.

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

The preprocessor to run the variance analysis of the objects.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.DiSHDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.HiSCDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction

Description for parameter preprocessor.

PREPROCESSOR_CLASS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

Description for parameter preprocessor.

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

Parameter for preprocessor.

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

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

PREPROCESSOR_SUPER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction

The super class for the preprocessor.

PREPROCESSOR_SUPER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction

The super class for the preprocessor.

PREPROCESSOR_SUPER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction

The super class for the preprocessor.

PREPROCESSOR_SUPER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction

The super class for the preprocessor.

PREPROCESSOR_SUPER_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

The super class for the preprocessor.

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

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

The description for the preprocessor class.

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 distance function using a preprocessor.

PreprocessorHandler(OptionHandler, String, Class<P>, String, AssociationID) - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler

Provides a handler class for all distance function using a preprocessor.

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

The super class for the preprocessor class.

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.

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).

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 neighors of pr in ps.

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

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.

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

PROCLUS provides the PROCLUS algorithm.

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

Adds the parameter PROCLUS.M_I_PARAM to the option handler additionally to the parameters provided by super-classes.

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

Encapsulates the attributes of a cluster.

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

Provides a new cluster with the specified parameters.

PROCLUS_M_I - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

OptionID for PROCLUS.M_I_PARAM

programCall - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

The programCall as it should be denoted in an eventual usage-message.

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

Log a PROGRESS message.

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

Log a PROGRESS message.

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

Log a PROGRESS message.

progress(Progress) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable

Log a PROGRESS message.

progress(LogRecord) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable

Log a PROGRESS message.

PROGRESS - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel

PROGRESS is a message level describing progress messages.

Progress - Class in de.lmu.ifi.dbs.elki.utilities

A progress object for a given overal number of items to process.

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

A progress object for a given overal number of items to process.

ProgressFilter - Class in de.lmu.ifi.dbs.elki.logging

A filter for progress logs - suitable for handling progress messages.

ProgressFilter() - Constructor for class de.lmu.ifi.dbs.elki.logging.ProgressFilter

Provides a filter for progress logs.

progressiveApproximation - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPLeafEntry

The progressive approximation.

progressiveKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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

Additionally to the functionality of a LogRecord, a ProgressLogRecord provides information concerning the progress as the name of the progressing task and the percentage of the progress.

ProgressLogRecord(Level, String, String, int) - Constructor for class de.lmu.ifi.dbs.elki.logging.ProgressLogRecord

Provides a ProgressLogRecord.

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

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

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

Abstract superclass for PROCLUS and ORCLUS.

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

Sets the parameter k and l the optionhandler additionally to the parameters provided by super-classes.

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.

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 alghorithm.

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>.Cluster, ORCLUS<V>.Cluster, 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>.Cluster, 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.

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

Second component of the pair: a property of arbitrary type

PROPERTY_DATABASE - Static variable in interface de.lmu.ifi.dbs.elki.database.connection.DatabaseConnection

Property key for available databases.

PROPERTY_PARSER - Static variable in interface de.lmu.ifi.dbs.elki.database.connection.DatabaseConnection

Property key for available parsers.

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 ",".

propertyComparator - Variable in class de.lmu.ifi.dbs.elki.utilities.PropertyPermutationComparator

A comparator for type P.

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.

PropertyPermutationComparator<P> - Class in de.lmu.ifi.dbs.elki.utilities

Provides a comparator for an IDPropertyPair with property of type P

PropertyPermutationComparator(Comparator<P>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.PropertyPermutationComparator

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

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

Flag indicating that subspaces with low coverage are pruned.

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.

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.

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

Publishs the given LogRecord and flushs immediately.

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(Integer, Integer, D) - Method in class de.lmu.ifi.dbs.elki.database.DistanceCache

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

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<Integer, Map<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(Map<String, Option<?>>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionHandler

Deprecated.

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.