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

Overview

Package

Class

Use

Tree

Deprecated

Index

Help

E nvironment for

Deve L oping

K DD-Applications

Supported by I ndex-Structures

PREV LETTER NEXT LETTER

FRAMES NO FRAMES

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 _

D

d - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition: Arrays for internal storage of eigenvalues.
d_max - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: The maximum distance value.
d_min - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: The minimum distance value.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering: Keeps the currently set database.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: The database storing the parameterization functions.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: The database holding the objects.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster: The database this bilcuster is defined for.
database - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: The database.
Database<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.database: Database specifies the requirements for any database implementation.
database - Variable in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction: The database that holds the DatabaseObject for which the distances should be computed.
database - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler: The database to run the preprocessor on.
DATABASE_CONNECTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for KDDTask.DATABASE_CONNECTION_PARAM
DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask: Parameter to specify the database connection to be used, must extend DatabaseConnection.
DATABASE_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: OptionID for AbstractDatabaseConnection.DATABASE_PARAM
DATABASE_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Parameter to specify the database to be provided by the parse method.
DatabaseConnection<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.database.connection: DatabaseConnection is to provide a database.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.KDDTask: Holds the database connection to have the algorithm run with.
DatabaseEvent - Class in de.lmu.ifi.dbs.elki.database: Encapsulates information describing changes, i.e. updates, insertions, or deletions to a database, and used to notify database listeners of the change.
DatabaseEvent(Database<? extends DatabaseObject>, List<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.database.DatabaseEvent: Used to create an event when database objects have been updated, inserted, or removed.
DatabaseListener - Interface in de.lmu.ifi.dbs.elki.database: Defines the interface for an object that listens to changes in a Database.
DatabaseObject - Interface in de.lmu.ifi.dbs.elki.data: A DatabaseObject should provide handling of a database ID.
db - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult: The database containing the objects of this result.
DBSCAN<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: DBSCAN provides the DBSCAN algorithm, an algorithm to find density-connected sets in a database.
DBSCAN() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Provides the DBSCAN algorithm, adding parameters DBSCAN.EPSILON_PARAM and DBSCAN.MINPTS_PARAM to the option handler additionally to parameters of super class.
DBSCAN_EPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: OptionID for ProjectedDBSCAN.EPSILON_PARAM
de.lmu.ifi.dbs.elki - package de.lmu.ifi.dbs.elki: The base-package of the ELKI framework.
de.lmu.ifi.dbs.elki.algorithm - package de.lmu.ifi.dbs.elki.algorithm: Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering - package de.lmu.ifi.dbs.elki.algorithm.clustering: Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering - package de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering: Package to collect biclustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash: Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique: Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.algorithm.result - package de.lmu.ifi.dbs.elki.algorithm.result: Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering - package de.lmu.ifi.dbs.elki.algorithm.result.clustering: Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering - package de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering: Package to collect result classes for the results of biclustering algorithms.
de.lmu.ifi.dbs.elki.converter - package de.lmu.ifi.dbs.elki.converter: Converter classes as bridges between different formats.
de.lmu.ifi.dbs.elki.data - package de.lmu.ifi.dbs.elki.data: Package collects basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.database - package de.lmu.ifi.dbs.elki.database: Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.database.connection - package de.lmu.ifi.dbs.elki.database.connection: Provides database connection classes.
de.lmu.ifi.dbs.elki.distance - package de.lmu.ifi.dbs.elki.distance: Package collects distances and - in its subpackages - distance and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction - package de.lmu.ifi.dbs.elki.distance.distancefunction: Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction - package de.lmu.ifi.dbs.elki.distance.similarityfunction: Package collects similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel - package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Package collects kernel functions.
de.lmu.ifi.dbs.elki.index - package de.lmu.ifi.dbs.elki.index: Package collects variants of index structures.
de.lmu.ifi.dbs.elki.index.tree - package de.lmu.ifi.dbs.elki.index.tree: Package collects variants of tree-based index structures.
de.lmu.ifi.dbs.elki.index.tree.metrical - package de.lmu.ifi.dbs.elki.index.tree.metrical: Package collects metrical tree-based index structures.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants: Package collects variants of the M-Tree.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp: Package collects classes for the MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop: Package collects classes for the MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax: Package collects classes for the MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab: Package collects classes for the MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree: Package collects classes for the MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util: Package collects helper classes for the variants of the M-Tree.
de.lmu.ifi.dbs.elki.index.tree.spatial - package de.lmu.ifi.dbs.elki.index.tree.spatial: Package collects spatial tree-based index structures.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants: Package collects variants of the R*-Tree.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Package collects classes for the DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn: Package collects classes for the RdKNNTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: Package collects classes for the RStarTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util: Package collects helper classes for the variants of the R*-Tree.
de.lmu.ifi.dbs.elki.logging - package de.lmu.ifi.dbs.elki.logging: Logging facility for controlling logging behaviour of the complete framework.
de.lmu.ifi.dbs.elki.math - package de.lmu.ifi.dbs.elki.math: Package to support mathematical operations in various areas.
de.lmu.ifi.dbs.elki.math.linearalgebra - package de.lmu.ifi.dbs.elki.math.linearalgebra: Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.math.spacefillingcurves - package de.lmu.ifi.dbs.elki.math.spacefillingcurves: Package to collect implementations of space filling curves.
de.lmu.ifi.dbs.elki.math.statistics - package de.lmu.ifi.dbs.elki.math.statistics: Package to support statistical tests and methods.
de.lmu.ifi.dbs.elki.normalization - package de.lmu.ifi.dbs.elki.normalization: Provides classes and methods for normalizations (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.parser - package de.lmu.ifi.dbs.elki.parser: Package collects parser for different file formats and data types.
de.lmu.ifi.dbs.elki.persistent - package de.lmu.ifi.dbs.elki.persistent: Package collects classes for persistent data management.
de.lmu.ifi.dbs.elki.preprocessing - package de.lmu.ifi.dbs.elki.preprocessing: Package collects preprocessors used for data preparation in a first step of various algorithms or distance measures.
de.lmu.ifi.dbs.elki.properties - package de.lmu.ifi.dbs.elki.properties: Contains the property-file and related classes for property handling.
de.lmu.ifi.dbs.elki.utilities - package de.lmu.ifi.dbs.elki.utilities: Package collects various classes and methods of global utility.
de.lmu.ifi.dbs.elki.utilities.heap - package de.lmu.ifi.dbs.elki.utilities.heap: Package collects variants of heap structures.
de.lmu.ifi.dbs.elki.utilities.optionhandling - package de.lmu.ifi.dbs.elki.utilities.optionhandling: Package collects classes required for handling and description of options for any parameterizable class.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints - package de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Constraints allow to restrict possible values for parameters.
de.lmu.ifi.dbs.elki.utilities.output - package de.lmu.ifi.dbs.elki.utilities.output: Helper-classes for output formatting.
de.lmu.ifi.dbs.elki.varianceanalysis - package de.lmu.ifi.dbs.elki.varianceanalysis: Classes for analysis of variance by different methods.
Deap<K extends Comparable<K> & Serializable,V extends Identifiable & Serializable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: Subclass of a MinMaxHeap that can be an entry in a persistent heap.
Deap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Empty constructor for serialization purposes.
Deap(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Creates a new Deap with the specified parameters.
debug - Variable in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Holds the class specific debug status.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.logging.ExceptionFormatter: Holds the class specific debug status.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: General debug flag.
debug() - Method in class de.lmu.ifi.dbs.elki.logging.StaticLogger: Return true if the logger is enabled for debugging, false otherwise.
DEBUG_FINE - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel: DEBUG_FINE is a message level providing debugging messages.
DEBUG_FINER - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel: DEBUG_FINER is a message level providing fairly detailed debugging messages.
DEBUG_FINEST - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel: DEBUG_FINEST is a message level providing highly detailed debugging messages.
DEBUG_LEVEL - Static variable in class de.lmu.ifi.dbs.elki.properties.PropertyName: Property debug level.
DebugFilter - Class in de.lmu.ifi.dbs.elki.logging: A filter for all (or specified) logs - suitable for handling debugging messages.
DebugFilter() - Constructor for class de.lmu.ifi.dbs.elki.logging.DebugFilter: Provides a debug filter for all levels below VERBOSE.
DebugFilter(Level) - Constructor for class de.lmu.ifi.dbs.elki.logging.DebugFilter: Provides a debug filter for all levels below VERBOSE and above the specified debugLevel.
debugFilter - Variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: The debug filter (can be maintained).
debugFine(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINE message.
debugFine(String) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable: Log a DEBUG_FINE message.
debugFiner(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINER message.
debugFiner(String) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable: Log a DEBUG_FINER message.
debugFinest(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINEST message.
debugFinest(String) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable: Log a DEBUG_FINEST message.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor: The default value for alpha.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter: The default value for alpha.
DEFAULT_CACHE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The default cachesize.
DEFAULT_DEGREE - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: The default degree.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter: The default value for delta.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction: The default distance function.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: The default distance function.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The default distance function.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: The default range query distance function.
DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PreferenceVectorBasedCorrelationDistanceFunction: The default value for epsilon.
DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: The default value for epsilon.
DEFAULT_KERNEL_FUNCTION_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction: The default kernel function.
DEFAULT_KERNEL_FUNCTION_CLASS - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor: The default kernel function class name.
DEFAULT_MAX_DEGREE - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: The default max_degree.
DEFAULT_NORMALIZATION - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization: Default normalization.
DEFAULT_PAGE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The default pagesize.
DEFAULT_PARSER - Static variable in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection: Default parser.
DEFAULT_PARSER - Static variable in class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection: Default parser.
DEFAULT_PCA_CLASS - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor: The default PCA class name.
DEFAULT_PCA_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiCOPreprocessor: The default distance function for the PCA.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.DiSHDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.HiSCDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction: The default preprocessor class name.
DEFAULT_PREPROCESSOR_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction: The default preprocessor class name.
DEFAULT_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: The default separator pattern, a point ('.').
DEFAULT_SEPARATOR_STRING - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: The default separator, a point ('.').
DEFAULT_STRATEGY - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Default strategy.
DEFAULT_TAU - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: The default value for delta.
defaultDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction: The default distance function.
DefaultHeap<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: Implementation of a heap-based priority queue.
DefaultHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Creates a new heap that stores the elements in ascending order.
DefaultHeap(boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Creates a new heap that stores the elements in the specified order.
DefaultHeapNode<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: A default implementation of an object that can be stored in a heap.
DefaultHeapNode() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode: Empty constructor for serialization purposes.
DefaultHeapNode(K, V) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode: Creates a new heap node with the specified parameters.
DefaultIdentifiable - Class in de.lmu.ifi.dbs.elki.utilities.heap: Default implementation of the identifiable interface.
DefaultIdentifiable() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable: Empty constructor for serialization purposes.
DefaultIdentifiable(Integer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable: Creates a new Identifiable object.
DefaultPageHeader - Class in de.lmu.ifi.dbs.elki.persistent: Default implementation of a page header.
DefaultPageHeader() - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Empty constructor for serialization.
DefaultPageHeader(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Creates a nerw header with the specified parameters.
defaultValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter: The default value of the parameter (may be null).
DefaultValueGlobalConstraint<T extends Comparable<T>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Global parameter constraint for specifying the default value of a parameter dependent on the parameter value of another parameter.
DefaultValueGlobalConstraint(Parameter<T, ?>, Parameter<T, ?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DefaultValueGlobalConstraint: Creates a global parameter constraint for specifying the default value of a parameter dependent on the value of an another paramter.
defaultValueTaken - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameter: Specifies if the default value of this parameter was taken as parameter value.
defineBicluster(BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering: Defines a bicluster as given by the included rows and columns.
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Degree of the polynomial kernel function
DEGREE_D - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Description for parameter degree.
DEGREE_P - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Parameter for degree.
delete(O) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
delete(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
delete(O) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Removes all objects from the database that are equal to the given object.
delete(Integer) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Removes and returns the object with the given id from the database.
delete(Integer) - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase: Calls the super method and afterwards deletes the specified object from the underlying index structure.
delete(O) - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase: Calls the super method and afterwards deletes the specified object from the underlying index structure.
delete(Integer) - Method in class de.lmu.ifi.dbs.elki.database.InvertedListDatabase
delete(O) - Method in interface de.lmu.ifi.dbs.elki.index.Index: Deletes the specified object from this index.
delete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Deletes the specified obect from this index.
delete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Deletes the specified obect from this index.
deleteAllEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Deletes all entries in this node.
deleteAssociations(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Deletes associations for the given id if there are any.
deleteEntry(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Deletes the entry at the specified index and shifts all entries after the index to left.
deleteOption(Option<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable: Deletes the given Option from the set of Options known to this Parameterizable.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Deletes the node with the specified id from this file.
DeLiClu<O extends NumberVector<O,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: DeLiClu provides the DeLiClu algorithm, a hierachical algorithm to find density-connected sets in a database.
DeLiClu() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Provides the DeLiClu algorithm, adding parameter DeLiClu.MINPTS_PARAM to the option handler additionally to parameters of super class.
DeLiClu.SpatialObjectPair - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: Encapsulates an entry in the cluster order.
DeLiClu.SpatialObjectPair(SpatialEntry, SpatialEntry, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair: Creates a new entry with the specified parameters.
DeLiCluDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a directory entry in an DeLiClu-Tree node.
DeLiCluDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Empty constructor for serialization purposes.
DeLiCluDirectoryEntry(int, HyperBoundingBox, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Constructs a new DeLiCluDirectoryEntry object with the given parameters.
DeLiCluEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for an entry in an DeLiClu-Tree node.
DeLiCluLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a leaf entry in an DeLiClu-Tree node.
DeLiCluLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Empty constructor for serialization purposes.
DeLiCluLeafEntry(int, double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Constructs a new LeafEntry object with the given parameters.
DeLiCluNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Represents a node in a DeLiClu-Tree.
DeLiCluNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Empty constructor for Externalizable interface.
DeLiCluNode(PageFile<DeLiCluNode>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Creates a new DeLiCluNode with the specified parameters.
DeLiCluTree<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: DeLiCluTree is a spatial index structure based on an R-TRee.
DeLiCluTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Creates a new DeLiClu-Tree.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Keeps delta - a small value as termination criterion in expectation maximization
DELTA - Static variable in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: The threshold for approximate linear dependency.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction: The threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter: Threshold for strong eigenpairs, can be absolute or relative.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: Description for parameter delta.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction: Description for parameter delta.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Description for parameter delta.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor: Description for parameter delta.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: Description for parameter delta.
DELTA_D - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter: Description for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: Option string for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCABasedCorrelationDistanceFunction: Option string for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Option string for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor: Option string for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: Option string for parameter delta.
DELTA_P - Static variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter: Option string for parameter delta.
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
denominator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber: Holding the denominator of the RationalNumber.
denseUnits - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: The dense units belonging to this subspace.
dependencies - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.SubspaceClusterMap: The map holding the basis vectors of the clusters.
DEPENDENCY_DERIVATOR_RANDOM_SAMPLE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for DependencyDerivator.RANDOM_SAMPLE_FLAG
DependencyDerivator<V extends RealVector<V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm: Dependency derivator computes quantitativly linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DependencyDerivator() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Provides a dependency derivator, adding parameters DependencyDerivator.OUTPUT_ACCURACY_PARAM, DependencyDerivator.SAMPLE_SIZE_PARAM, and flag DependencyDerivator.RANDOM_SAMPLE_FLAG to the option handler additionally to parameters of super class.
depth() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: The length of the hierarchy of names.
dequeue() - Method in class de.lmu.ifi.dbs.elki.utilities.Queue: Removes the first object from the queue and returns it.
description() - Method in class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
description() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAA
description() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
description() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
description() - Method in class de.lmu.ifi.dbs.elki.database.connection.InputStreamDatabaseConnection
description() - Method in interface de.lmu.ifi.dbs.elki.database.Database: Returns a short description of the database.
description() - Method in class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase: Returns a short description of the database.
description() - Method in class de.lmu.ifi.dbs.elki.database.SequentialDatabase: Provides a description for SequentialDatabase.
description() - Method in class de.lmu.ifi.dbs.elki.database.SpatialIndexDatabase: Returns a short description of the database.
description() - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance
description() - Method in interface de.lmu.ifi.dbs.elki.distance.Distance: Returns a String as description of this Distance.
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCorrelationDistanceFunction: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractLocallyWeightedDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DirectSupportDependentItemsetDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedDoubleDistanceFunction: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedFloatDistanceFunction: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ReciprocalSupportDependentItemsetDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedMaximumDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedUnitedDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquareRootSupportLengthDependentItemsetDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SupportLengthDependentItemsetDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.NumberDistance
description() - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance
description() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper
description() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
description() - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
description() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.KDDTask: Returns a description for printing on command line interface.
description() - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.normalization.DummyNormalization
description() - Method in class de.lmu.ifi.dbs.elki.parser.BitVectorLabelParser
description() - Method in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser
description() - Method in class de.lmu.ifi.dbs.elki.parser.ParameterizationFunctionLabelParser
description() - Method in class de.lmu.ifi.dbs.elki.parser.RealVectorLabelParser
description() - Method in class de.lmu.ifi.dbs.elki.parser.SparseBitVectorLabelParser
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.KnnQueryBasedHiCOPreprocessor: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.RangeQueryBasedHiCOPreprocessor: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Provides a short description of the purpose of this class.
description - Variable in class de.lmu.ifi.dbs.elki.properties.PropertyDescription: Description of property.
Description - Class in de.lmu.ifi.dbs.elki.utilities: Class to provide a description wrapper for CLI information concerning an algorithm.
Description(String, String, String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.Description: Wrapper to provide a description wrapper for CLI information concerning an algorithm.
description() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
description(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable: Returns an usage-String by calling OptionHandler.usage(String).
description(String, boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable: Returns an usage-String by calling OptionHandler.usage(String,boolean).
DESCRIPTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for KDDTask.DESCRIPTION_PARAM
description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: The description of the OptionID.
description() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable: Returns a description of the class and the required parameters.
description() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.CompositeEigenPairFilter
description() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.FirstNEigenPairFilter
description() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LimitEigenPairFilter
description() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.NormalizingEigenPairFilter
description() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter
DESCRIPTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask: Optional Parameter to specify a class to obtain a description for, must extend Parameterizable.
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Determinant
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Matrix determinant
determineAlphaMax(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the n-th alpha value where this function has a maximum in the specified interval.
determineAlphaMin(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the n-th alpha value where this function has a minimum in the specified interval.
determineAlphaMinMax(HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the alpha values where this function has a minumum and maximum value in the given interval.
determineBasis(double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines a basis defining a subspace described by the specified alpha values.
determineClusters(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.
determineClusters(Database<V>, SortedSet<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE: Determines the clusters in the specified dense subspaces.
determineEigenPairs(Matrix) - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.AbstractPCA: Determines the (strong and weak) eigenpairs (i.e. the eigenvectors and their corresponding eigenvalues) sorted in descending order of their eigenvalues of the specified matrix.
determineGlobalExtremum() - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the global extremum of this parameterization function.
determineGlobalExtremumType() - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the type od the global extremum.
determineIDs(Set<Integer>, HyperBoundingBox, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Determines the ids belonging to the given interval, i.e.
determineLowerAndUpperHull(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.ConvexHull: Computes the lower and upper hull of the specified distances.
determineMinMax(V[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization: Determines the minima and maxima values in each dimension of the given featureVectors.
determineMinMax(List<ObjectAndAssociations<V>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization: Determines the minima and maxima values in each dimension of the given featureVectors.
determineMinMaxDistance(Database<ParameterizationFunction>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines the minimum and maximum function value of all parametrization functions stored in the specified database.
determineNextIntervalAtMaxLevel(DefaultHeap<Integer, CASHInterval>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed obejcts.
determinePreferenceVector(Database<V>, Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(Database<V>, Integer, List<Integer>, StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(Database<V>, Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector with the max intersection strategy.
dfs(CLIQUEUnit<V>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Depth-first search algorithm to find connected dense units in this subspace that build a cluster.
diagonal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
diagonal(Vector) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: The dimension to be considered for distance computation.
DIM_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: Description for parameter dim.
DIM_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: Option string for parameter dim.
dimension - Variable in class de.lmu.ifi.dbs.elki.utilities.Interval: The dimension of this interval in the (original) data space.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.CASHResult: The dimensionality of the feature space.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.BitVector: Dimensionality of this bit vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector: The dimensionality of this feature vector.
dimensionality() - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
dimensionality() - Method in interface de.lmu.ifi.dbs.elki.database.Database: Returns the dimensionality of the data contained by this database in case of O extends FeatureVector.
dimensionInfo() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Returns the dimensionality of this matrix as a string.
dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Cluster: The correlated dimensions of this cluster.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction: The dimensions to be considered for distance computation.
dimensions - Variable in class de.lmu.ifi.dbs.elki.utilities.Subspace: The dimensions building this subspace.
DimensionSelectingDistanceFunction<N extends Number,O extends FeatureVector<O,N>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
DimensionSelectingDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction
DimensionsSelectingEuklideanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Provides a distance function that computes the Euklidean distance between feature vectors only in specified dimensions.
DimensionsSelectingEuklideanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction: Provides a distance function that computes the Euklidean distance between feature vectors only in specified dimensions
dimensionToInterval - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Provides a mapping of particular dimensions to the intervals of which this unit is build.
DIMS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction: Description for parameter dim.
DIMS_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDimensionsSelectingDoubleDistanceFunction: Option string for parameter dims.
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
DirectSupportDependentItemsetDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
DirectSupportDependentItemsetDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.DirectSupportDependentItemsetDistanceFunction: Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The minimum number of entries in a directory node.
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The minimum number of entries in a directory node.
dirty - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPage: The dirty flag of this page.
dirty - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: The dirty flag of this page.
DiSH<V extends RealVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Algorithm for detecting subspace hierarchies.
DiSH() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Provides a new algorithm for detecting supspace hierarchies.
DISH_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for DiSH.EPSILON_PARAM
DISH_MU - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for DiSH.MU_PARAM
DiSHDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Distance function used in the DiSH algorithm.
DiSHDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.DiSHDistanceFunction
DiSHPreprocessor<V extends RealVector<V,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.preprocessing: Preprocessor for DiSH preference vector assignment to objects of a certain database.
DiSHPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Provides a new AdvancedHiSCPreprocessor that computes the preference vector of objects of a certain database.
DiSHPreprocessor.Strategy - Enum in de.lmu.ifi.dbs.elki.preprocessing: Available strategies for determination of the preference vecrtor.
DiSHPreprocessor.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor.Strategy
dissimilarityMatrix() - Method in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA: Returns a copy of the dissimilarity matrix (M_czech) of this LocalPCA.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK.SLinkDistance
distance(V) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution: Returns the distance of RealVector p from the hyperplane underlying this solution.
distance(Matrix) - Method in class de.lmu.ifi.dbs.elki.algorithm.result.CorrelationAnalysisSolution: Returns the distance of Matrix p from the hyperplane underlying this solution.
Distance<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance: The interface Distance defines the requirements of any instance class.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractCorrelationDistanceFunction: Provides the Correlation distance between the given two vectors.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction: Returns the distance between the two objcts specified by their obejct ids.
distance(Integer, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction: Computes the cosine distance for two given FeatureVectors.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction: Provides the Euklidean distance between two given feature vectors in the selected dimensions.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DirectSupportDependentItemsetDistanceFunction: Returns a distance between two Bitvectors.
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, Integer) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Returns the distance between the two objcts specified by their obejct ids.
distance(Integer, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Returns the distance between the two specified objects.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(V, V, LocalPCA<V>, LocalPCA<V>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ERiCDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(T, T) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction: Provides the Euklidean distance between the given two vectors.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
distance(ExternalObject, ExternalObject) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedDoubleDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, ExternalObject) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedDoubleDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedDoubleDistanceFunction: Returns the distance between the two objcts specified by their obejct ids.
distance(ExternalObject, ExternalObject) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedFloatDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, ExternalObject) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedFloatDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FileBasedFloatDistanceFunction: Returns the distance between the two objcts specified by their obejct ids.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.FractalDimensionBasedDistanceFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction: Computes the distance between two given real vectors according to this distance function.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction: Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.
distance(T, T) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ReciprocalSupportDependentItemsetDistanceFunction: Returns a distance between two Bitvectors.
distance(M, M) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedMaximumDistanceFunction: Returns a distance between two Bitvectors.
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedUnitedDistanceFunction: Returns a distance between two Bitvectors.
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquareRootSupportLengthDependentItemsetDistanceFunction: Returns a distance between two Bitvectors.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction: Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(O, O, LocalPCA<O>, LocalPCA<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SubspaceDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(BitVector, BitVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SupportLengthDependentItemsetDistanceFunction: Returns a distance between two Bitvectors.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction: Provides the Weighted distance for feature vectors.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.AbstractDoubleKernelFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper: Returns the distance between the two objects specified by their object ids.
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry: The distance value belonging to the entry.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the two specified ids.
distance(HyperBoundingBox, HyperBoundingBox) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
distance - Variable in class de.lmu.ifi.dbs.elki.utilities.QueryResult: The distance of the underlying database object to the query object.
DISTANCE_FUNCTION_D - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Description for parameter distance function.
DISTANCE_FUNCTION_D - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Description for parameter distance function.
DISTANCE_FUNCTION_D - Static variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: Description for parameter distance function.
DISTANCE_FUNCTION_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: Description for parameter range query distance function.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: OptionID for DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_P - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Parameter for distance function.
DISTANCE_FUNCTION_P - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Parameter for distance function.
DISTANCE_FUNCTION_P - Static variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: Parameter for distance function.
DISTANCE_FUNCTION_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: Parameter for range query distance function.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: Parameter to specify the distance function to determine the distance between database objects, must extend AbstractLocallyWeightedDistanceFunction.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_FUNCTION_PARAM - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTIONS_D - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction: Description for parameter distance functions.
DISTANCE_FUNCTIONS_P - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction: Parameter for distance functions.
DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm: Provides an abstract algorithm already setting the distance function.
DistanceBasedAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Adds parameter DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM, to the option handler additionally to parameters of super class.
DistanceCache<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database: Provides a cache for distances between database objects.
DistanceCache() - Constructor for class de.lmu.ifi.dbs.elki.database.DistanceCache
distanceCache - Variable in class de.lmu.ifi.dbs.elki.parser.DistanceParsingResult: The cache of precomputed distances between the database objects.
distanceCov(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: distanceCov returns distance of two Matrices A and B, i.e. the root of the sum of the squared distances A_ij-B_ij.
DistanceEntry<D extends Distance<D>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree: Helper class: encapsulates an entry in an Index and a distance value belonging to this entry.
DistanceEntry(E, D, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry: Constructs a new DistanceEntry object with the specified parameters.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering: The euklidean distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Holds the instance of the distance function specified by DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder: The distance function of the OPTICS algorithm.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.PointerRepresentation: The distance function this pointer representation was computed with.
DistanceFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Interface DistanceFunction describes the requirements of any distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Hold the distance funciton to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DistanceFunctionPatternConstraint: The distance function the pattern is checked for.
DISTANCEFUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: OptionID for ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM
DistanceFunctionPatternConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Parameter constraint class for testing if a given pattern parameter (PatternParameter) holds a valid pattern for a specific distance function (DistanceFunction).
DistanceFunctionPatternConstraint(DistanceFunction<?, ?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DistanceFunctionPatternConstraint: Constructs a distance function pattern constraint for testing if a given pattern parameter holds a valid pattern for the parameter distFunction
distanceFunctions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction: The list of distance functions for each representation.
DistanceParser<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.parser: A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
DistanceParsingResult<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.parser: Provides a list of database objects and labels associated with these objects and a cache of precomputed distances between the database objects.
DistanceParsingResult(List<ObjectAndLabels<O>>, Map<Integer, Map<Integer, D>>) - Constructor for class de.lmu.ifi.dbs.elki.parser.DistanceParsingResult: Provides a list of database objects, a list of label obejcts associated with these objects and cached distances between these objects.
distancesToList() - Method in class de.lmu.ifi.dbs.elki.utilities.KNNList
divided(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic: Divides this number by the given number.
divided(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
doDetermineNextIntervalAtMaxLevel(DefaultHeap<Integer, CASHInterval>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Recursive helper method to determine the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed obejcts
doKNNQuery(Integer, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
doKNNQuery(Object, DistanceFunction<O, D>, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
doRangeQuery(Integer, N, Integer, D, List<QueryResult<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Performs a range query.
doReverseKNN(RdKNNNode<D>, O, List<QueryResult<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs a reverse knn query in the specified subtree.
doReverseKNNQuery(int, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTree: Performs a reverse knn query.
doReverseKNNQuery(int, Integer, List<QueryResult<D>>, List<Integer>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTree: Performs a reverse knn query.
doReverseKNNQuery(Integer, MkMaxEntry<D>, MkMaxTreeNode<O, D>, List<QueryResult<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree: Performs a k-nearest neighbor query in the specified subtree for the given query object.
doReverseKNNQuery(int, Integer, MkTabEntry<D>, MkTabTreeNode<O, D>, List<QueryResult<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab.MkTabTree: Performs a k-nearest neighbor query in the specified subtree for the given query object and the given parameter k.
doRun(Database<ParameterizationFunction>, Progress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.
DOUBLE_DISTANCE - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID: The association id to associate a DoubleDistance to an object.
DoubleDistance - Class in de.lmu.ifi.dbs.elki.distance: Provides a Distance for a double-valued distance.
DoubleDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.DoubleDistance: Empty constructor for serialization purposes.
DoubleDistance(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.DoubleDistance: Constructs a new DoubleDistance object that represents the double argument.
DoubleListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling: Paramter class for a parameter specifying a list of double values.
DoubleListParameter(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleListParameter: Deprecated.
DoubleListParameter(String, String, ParameterConstraint<List<Double>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleListParameter: Deprecated.
DoublePair - Class in de.lmu.ifi.dbs.elki.utilities: todo comments
DoublePair(double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DoublePair
DoubleParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling: Parameter class for a parameter specifying a double value.
DoubleParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID.
DoubleParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, and optional flag.
DoubleParameter(OptionID, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, and parameter constraint.
DoubleParameter(OptionID, ParameterConstraint<Number>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraint, and optional flag.
DoubleParameter(OptionID, ParameterConstraint<Number>, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraint, and default value.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, and parameter constraints.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraints, and optional flag.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraints, and default value.
DoubleParameter(String, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Deprecated.
DoubleParameter(String, String, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Deprecated.
DoubleParameter(String, String, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Deprecated.
DoubleParameter(String, String, ParameterConstraint<Number>, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Deprecated.
DoubleParameter(String, String, List<ParameterConstraint<Number>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.DoubleParameter: Deprecated.
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit: Provides a double value for the integer representation of this Bit as given by intValue().
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Returns the double value representation of this RationalNumber.
DoubleVector - Class in de.lmu.ifi.dbs.elki.data: A DoubleVector is to store real values approximately as double values.
DoubleVector(List<Double>) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Provides a feature vector consisting of double values according to the given Double values.
DoubleVector(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Provides a DoubleVector consisting of the given double values.
DoubleVector(Double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Provides a DoubleVector consisting of the given double values.
DoubleVector(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Expects a matrix of one column.
DummyNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization: Dummy normalization that does nothing.
DummyNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.DummyNormalization