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

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.

data - Variable in class de.lmu.ifi.dbs.elki.math.Histogram

Data storage

data - Variable in class de.lmu.ifi.dbs.elki.result.MetadataResult

Data store.

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.data.model.Bicluster

The database this bicluster is defined for.

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

Holds the instance of the database specified by AbstractDatabaseConnection.DATABASE_PARAM.

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 objects for which the measurements should be computed.

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

The database to run the preprocessor on.

database - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromDatabase

database storage

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.application.cache.CacheDoubleDistanceInOnDiskMatrix

Parameter to specify the database connection to be used, must extend DatabaseConnection.

DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Parameter to specify the database connection to be used, must extend DatabaseConnection.

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

Parameter to specify the database connection to be used, must extend DatabaseConnection.

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_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.ExceptionMessages

Messages in case a database is unexpectedly empty.

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, must extend Database.

databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Holds the database connection to have the algorithm run with.

databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Holds the database connection to have the algorithm run with.

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

Holds the database connection to have the algorithm run with.

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.

DatabaseObjectGroup - Interface in de.lmu.ifi.dbs.elki.data

Interface for a collection of database references (IDs).

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

Array backed DatabaseObjectGroup.

DatabaseObjectGroupArray(Integer[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupArray

Constructor.

DatabaseObjectGroupCollection<C extends Collection<Integer>> - Class in de.lmu.ifi.dbs.elki.data

Collection-backed group of database object (references)

DatabaseObjectGroupCollection(C) - Constructor for class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupCollection

Constructor to wrap an existing collection.

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

Class with Database-related utility functions such as centroid computation, covariances etc.

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

dataProjections(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

Returns the data vectors after projection.

dataVector(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

Returns the data vectors after projection.

dataVectors(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

Returns the data vectors after projection.

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

db - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation

Database

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.

de.lmu.ifi.dbs.elki - package de.lmu.ifi.dbs.elki

ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.

de.lmu.ifi.dbs.elki.algorithm - package de.lmu.ifi.dbs.elki.algorithm

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

Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Correlation clustering algorithms

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

Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.

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.outlier - package de.lmu.ifi.dbs.elki.algorithm.outlier

Outlier detection algorithms

de.lmu.ifi.dbs.elki.algorithm.statistics - package de.lmu.ifi.dbs.elki.algorithm.statistics

Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)

de.lmu.ifi.dbs.elki.application - package de.lmu.ifi.dbs.elki.application

Base classes for stand alone applications.

de.lmu.ifi.dbs.elki.application.cache - package de.lmu.ifi.dbs.elki.application.cache

Utility applications for the persistence layer such as distance cache builders.

de.lmu.ifi.dbs.elki.application.internal - package de.lmu.ifi.dbs.elki.application.internal

Internal utilities for development.

de.lmu.ifi.dbs.elki.application.visualization - package de.lmu.ifi.dbs.elki.application.visualization

Visualization applications in ELKI.

de.lmu.ifi.dbs.elki.data - package de.lmu.ifi.dbs.elki.data

Basic classes for different data types, database object types and label types.

de.lmu.ifi.dbs.elki.data.cluster - package de.lmu.ifi.dbs.elki.data.cluster

Cluster classes.

de.lmu.ifi.dbs.elki.data.cluster.naming - package de.lmu.ifi.dbs.elki.data.cluster.naming

Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).

de.lmu.ifi.dbs.elki.data.model - package de.lmu.ifi.dbs.elki.data.model

Cluster models classes for various algorithms.

de.lmu.ifi.dbs.elki.data.synthetic - package de.lmu.ifi.dbs.elki.data.synthetic

Generators for synthetic data sets

de.lmu.ifi.dbs.elki.data.synthetic.bymodel - package de.lmu.ifi.dbs.elki.data.synthetic.bymodel

Generator using a distribution model specified in an XML configuration file.

de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution - package de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution

Data generators used by the model-based generator.

de.lmu.ifi.dbs.elki.database - package de.lmu.ifi.dbs.elki.database

ELKI database layer - loading, storing, indexing and accessing data

de.lmu.ifi.dbs.elki.database.connection - package de.lmu.ifi.dbs.elki.database.connection

Database connections are classes implementing data sources.

de.lmu.ifi.dbs.elki.distance - package de.lmu.ifi.dbs.elki.distance

Distances and (in subpackages) distance functions and similarity functions.

de.lmu.ifi.dbs.elki.distance.distancefunction - package de.lmu.ifi.dbs.elki.distance.distancefunction

Distance functions for use within ELKI.

de.lmu.ifi.dbs.elki.distance.distancefunction.adapter - package de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Distance functions deriving distances from e.g. similarity measures

de.lmu.ifi.dbs.elki.distance.distancefunction.correlation - package de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Distance functions using correlations.

de.lmu.ifi.dbs.elki.distance.distancefunction.external - package de.lmu.ifi.dbs.elki.distance.distancefunction.external

Distance functions using external data sources.

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace - package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Distance functions based on subspaces.

de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries - package de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Distance functions designed for time series.

de.lmu.ifi.dbs.elki.distance.similarityfunction - package de.lmu.ifi.dbs.elki.distance.similarityfunction

Similarity functions.

de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel - package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Kernel functions.

de.lmu.ifi.dbs.elki.evaluation - package de.lmu.ifi.dbs.elki.evaluation

Functionality for the evaluation of algorithms.

de.lmu.ifi.dbs.elki.evaluation.paircounting - package de.lmu.ifi.dbs.elki.evaluation.paircounting

Evaluation of clustering results via pair counting.

de.lmu.ifi.dbs.elki.evaluation.paircounting.generator - package de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Pair generation for pair counting evaluation.

de.lmu.ifi.dbs.elki.evaluation.roc - package de.lmu.ifi.dbs.elki.evaluation.roc

Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)

de.lmu.ifi.dbs.elki.index - package de.lmu.ifi.dbs.elki.index

Index structure implementations

de.lmu.ifi.dbs.elki.index.tree - package de.lmu.ifi.dbs.elki.index.tree

Tree-based index structures

de.lmu.ifi.dbs.elki.index.tree.metrical - package de.lmu.ifi.dbs.elki.index.tree.metrical

Tree-based index structures for metrical vector spaces.

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

M-Tree and variants.

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

MkAppTree

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

MkCoPTree

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

MkMaxTree

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

MkTabTree

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

MTree

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Splitting strategies of nodes in an M-Tree (and variants).

de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util

Helper classes for the the M-Tree and it's variants.

de.lmu.ifi.dbs.elki.index.tree.spatial - package de.lmu.ifi.dbs.elki.index.tree.spatial

Tree-based index structures for spatial indexing.

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

R*-Tree and variants.

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

DeLiCluTree

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

RdKNNTree

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

RStarTree

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util

Utilities for R*-Tree and variants.

de.lmu.ifi.dbs.elki.logging - package de.lmu.ifi.dbs.elki.logging

Logging facility for controlling logging behavior of the complete framework.

de.lmu.ifi.dbs.elki.math - package de.lmu.ifi.dbs.elki.math

Mathematical operations and utilities used throughout the framework.

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.linearalgebra.fitting - package de.lmu.ifi.dbs.elki.math.linearalgebra.fitting

Function to numerically fit a function (such as a Gaussian distribution to given data.

de.lmu.ifi.dbs.elki.math.linearalgebra.pca - package de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Principal Component Analysis (PCA) and Eigenvector processing.

de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions - package de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions

Weight functions used in weighted PCA via WeightedCovarianceMatrixBuilder

de.lmu.ifi.dbs.elki.math.spacefillingcurves - package de.lmu.ifi.dbs.elki.math.spacefillingcurves

Space filling curves.

de.lmu.ifi.dbs.elki.math.statistics - package de.lmu.ifi.dbs.elki.math.statistics

Statistical tests and methods.

de.lmu.ifi.dbs.elki.normalization - package de.lmu.ifi.dbs.elki.normalization

Data normalization (and reconstitution) of data sets.

de.lmu.ifi.dbs.elki.parser - package de.lmu.ifi.dbs.elki.parser

Parsers for different file formats and data types.

de.lmu.ifi.dbs.elki.parser.meta - package de.lmu.ifi.dbs.elki.parser.meta

MetaParsers for different file formats and data types.

de.lmu.ifi.dbs.elki.persistent - package de.lmu.ifi.dbs.elki.persistent

Persistent data management.

de.lmu.ifi.dbs.elki.preprocessing - package de.lmu.ifi.dbs.elki.preprocessing

Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.

de.lmu.ifi.dbs.elki.properties - package de.lmu.ifi.dbs.elki.properties

Property handling and main ELKI properties file.

de.lmu.ifi.dbs.elki.result - package de.lmu.ifi.dbs.elki.result

Result types, representation and handling

de.lmu.ifi.dbs.elki.result.textwriter - package de.lmu.ifi.dbs.elki.result.textwriter

Text serialization (CSV, Gnuplot, Console, ...)

de.lmu.ifi.dbs.elki.result.textwriter.writers - package de.lmu.ifi.dbs.elki.result.textwriter.writers

Serialization handlers for individual data types.

de.lmu.ifi.dbs.elki.utilities - package de.lmu.ifi.dbs.elki.utilities

Utility and helper classes - commonly used data structures, output formatting, exceptions, ...

de.lmu.ifi.dbs.elki.utilities.heap - package de.lmu.ifi.dbs.elki.utilities.heap

Variants of heap structures.

de.lmu.ifi.dbs.elki.utilities.optionhandling - package de.lmu.ifi.dbs.elki.utilities.optionhandling

Parameter handling and option descriptions.

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.utilities.pairs - package de.lmu.ifi.dbs.elki.utilities.pairs

Pairs and triples utility classes.

de.lmu.ifi.dbs.elki.utilities.progress - package de.lmu.ifi.dbs.elki.utilities.progress

Progress status objects (for UI)

de.lmu.ifi.dbs.elki.utilities.xml - package de.lmu.ifi.dbs.elki.utilities.xml

XML and XHTML utilities.

de.lmu.ifi.dbs.elki.visualization - package de.lmu.ifi.dbs.elki.visualization

Visualization package of ELKI.

de.lmu.ifi.dbs.elki.visualization.batikutil - package de.lmu.ifi.dbs.elki.visualization.batikutil

Commonly used functionality useful for Apache Batik.

de.lmu.ifi.dbs.elki.visualization.colors - package de.lmu.ifi.dbs.elki.visualization.colors

Color scheme handling for ELKI.

de.lmu.ifi.dbs.elki.visualization.css - package de.lmu.ifi.dbs.elki.visualization.css

Managing CSS styles / classes.

de.lmu.ifi.dbs.elki.visualization.savedialog - package de.lmu.ifi.dbs.elki.visualization.savedialog

Save dialog for SVG plots.

de.lmu.ifi.dbs.elki.visualization.scales - package de.lmu.ifi.dbs.elki.visualization.scales

Scales handling for plotting.

de.lmu.ifi.dbs.elki.visualization.svg - package de.lmu.ifi.dbs.elki.visualization.svg

Base SVG functionality (generation, markers, thumbnails, export, ...).

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(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'fine' debugging level.

debug(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'fine' debugging level.

DEBUG - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

General debug flag.

debugExtraCheckSymmetry - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Debug flag, to double-check all write operations.

debugExtraCheckSymmetry - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Debug flag, to double-check all write operations.

debugExtraCheckWrites - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Debug flag, to double-check all write operations.

debugExtraCheckWrites - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Debug flag, to double-check all write operations.

debugFine(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Log a DEBUG_FINE message.

debugFine(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'fine' debugging level.

debugFine(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'fine' debugging level.

debugFiner(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Log a DEBUG_FINER message.

debugFiner(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'finer' debugging level.

debugFiner(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'finer' debugging level.

debugFinest(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Log a DEBUG_FINEST message.

debugFinest(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'finest' debugging level.

debugFinest(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'finest' debugging level.

debugformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Formatter for debugging messages

DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

The default value for alpha.

DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor

The default value for alpha.

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.math.linearalgebra.pca.LimitEigenPairFilter

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.PreDeConPreprocessor

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.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.preprocessing.DiSHPreprocessor

The default value for epsilon.

DEFAULT_IGNORES - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil

Default package ignores.

DEFAULT_KERNEL_FUNCTION_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction

The default kernel function.

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_PALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

The default value for alpha.

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

The default distance function for the PCA.

DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers

Default prefix to use.

DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.Thumbnailer

Default prefix

DEFAULT_RALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter

The default value for ralpha.

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_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer

Default threshold for resizing.

DEFAULT_TITLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog

The default title.

DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

The default value for alpha.

DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter

The default value for walpha.

DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter

The default value for walpha.

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 new header with the specified parameters.

defaultStream - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Default stream to write to when no name is supplied.

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 parameter.

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.

defs - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Definitions element of the document.

degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

Degree of the polynomial kernel function

DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

OptionID for PolynomialKernelFunction.DEGREE_PARAM

DEGREE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

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(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

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

delete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Deletes the specified object 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.

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.OnDiskArrayPageFile

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 hierarchical 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

Holds the value of EM.DELTA_PARAM.

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.correlation.ERiCDistanceFunction

Holds the value of ERiCDistanceFunction.DELTA_PARAM.

delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction

Holds the value of PCABasedCorrelationDistanceFunction.DELTA_PARAM.

delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

Keeps the currently set delta.

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.math.linearalgebra.pca.LimitEigenPairFilter

Threshold for strong eigenpairs, can be absolute or relative.

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.PreDeConPreprocessor

The threshold for small eigenvalues.

delta - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale

Scale delta := max - min

DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

OptionID for EM.DELTA_PARAM

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

OptionID for ERiCDistanceFunction.DELTA_PARAM

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

OptionID for PCABasedCorrelationDistanceFunction.DELTA_PARAM

DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

OptionID for EDRDistanceFunction.DELTA_PARAM

DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor

OptionID for PreDeConPreprocessor.DELTA_PARAM

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.

DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all stroneg eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.

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

Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.

DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

DELTA parameter

DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter

Parameter delta

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

Option string for parameter delta.

DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor

Parameter for Delta

deltaparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

denominator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber

Holding the denominator of the RationalNumber.

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

Return the unnormalized value (centered at the mean, distance normalized by standard deviation)

dens - Variable in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator

Result storage: density

denseUnits - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

The dense units belonging to this subspace.

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

Correction factor for probability computation

DEPENDENCY_DERIVATOR_RANDOM_SAMPLE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

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 quantitatively 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.

describeParameterizable(Parameterizable) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Produce a description of a Parameterizable instance (including recursive options).

describeParameterizable(StringBuffer, Parameterizable, int, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Format a description of a Parameterizable (including recursive options).

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

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.DoubleDistance

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

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

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

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

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

OptionID for AbstractApplication.DESCRIPTION_PARAM

description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

The description of the OptionID.

DESCRIPTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Optional Parameter to specify a class to obtain a description for, must extend Parameterizable .

descriptionLineType() - Method in class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelParser

descriptionLineType() - Method in class de.lmu.ifi.dbs.elki.parser.FloatVectorLabelParser

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

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

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.

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.mktrees.mkcop.ConvexHull

Computes the lower and upper hull of the specified distances.

determineMeanVariance(V[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

Determines the mean and standard deviations in each dimension of the given featureVectors.

determineMeanVariance(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

Determines the means and standard deviations in each dimension of the given featureVectors.

determineMinMax(V[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

Determines the minima and maxima values in each dimension of the given featureVectors.

determineMinMax(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

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 parameterization 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 objects.

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.application.visualization.KNNExplorer.ExplorerWindow

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

The dimensionality

dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

The dimension to be considered for distance computation.

dim - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

the dimensionality of the transformation

DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

OptionID for DimensionSelectingDistanceFunction.DIM_PARAM

DIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

Parameter for dimensionality.

dimension - Variable in class de.lmu.ifi.dbs.elki.data.Interval

The dimension of this interval in the (original) data space.

dimension - Variable in class de.lmu.ifi.dbs.elki.data.model.DimensionModel

Number of dimensions

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.SparseFloatVector

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.

dimensionality() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractPreferenceVectorBasedCorrelationDistanceFunction

Returns the dimensionality of the database.

dimensionality - Variable in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

The dimensionality of the feature space (needed for serialization).

dimensionality - Variable in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser

Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.

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

Returns the dimensionality of this matrix as a string.

DimensionModel - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model just providing a cluster dimensionality.

DimensionModel(Integer) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DimensionModel

Constructor

dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster

The correlated dimensions of this cluster.

dimensions - Variable in class de.lmu.ifi.dbs.elki.data.Subspace

The dimensions building this subspace.

dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

The dimensions to be considered for distance computation.

DimensionSelectingDistanceFunction<N extends Number,V extends FeatureVector<V,N>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

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.subspace.DimensionSelectingDistanceFunction

Constructor

DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

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

Provides a distance function that computes the Euclidean 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_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

OptionID for AbstractDimensionsSelectingDoubleDistanceFunction.DIMS_PARAM

DIMS_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

Dimensions parameter.

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).

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.

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

Discarded count

DiscardResultHandler<O extends DatabaseObject,R extends Result> - Class in de.lmu.ifi.dbs.elki.result

A dummy result handler that discards the actual result, for use in benchmarks.

DiscardResultHandler() - Constructor for class de.lmu.ifi.dbs.elki.result.DiscardResultHandler

Default constructor.

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 the DiSH algorithm, adding parameters DiSH.EPSILON_PARAM and DiSH.MU_PARAM to the option handler additionally to parameters of super class.

DiSHDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Distance function used in the DiSH algorithm.

DiSHDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.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 vector.

DiSHPreprocessor.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor.Strategy

DiskCacheBasedDoubleDistanceFunction<V extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.

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

Default constructor.

DiskCacheBasedFloatDistanceFunction<V extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.

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

Default constructor.

dissimilarityMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Returns a copy of the dissimilarity matrix (M_czech) of this LocalPCA.

distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Distance function that is to be cached.

distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Distance function that is to be cached.

distance(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

Returns the distance of RealVector p from the hyperplane underlying this solution.

distance(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.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(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

Returns the distance between the two object specified by their object 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.adapter.SimilarityAdapterAbstract

Distance implementation

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterArccos

Distance implementation

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLinear

Distance implementation

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLn

Distance implementation

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction

Computes the cosine distance for two given feature vectors.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction

Provides the Correlation distance between the given two vectors by calling correlationDistance(v1, v2).

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.

distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction

Computes the cosine distance for two given feature vectors.

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 objects specified by their object 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.EuclideanDistanceFunction

Provides the Euclidean distance between the given two vectors.

distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Returns the distance between the two specified objects.

distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Returns the distance between the two objects specified by their objects ids.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

Returns the distance between the two specified objects.

distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

Returns the distance between the two objects specified by their objects ids.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Returns the distance between the two specified objects.

distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Returns the distance between the two objects specified by their objects ids.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Returns the distance between the two specified objects.

distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Returns the distance between the two objects specified by their objects ids.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(V, V) - 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

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(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction

distance(M, M) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.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.subspace.DimensionSelectingDistanceFunction

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction

Provides the Euclidean distance between two given feature vectors in the selected dimensions.

distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction

Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.

distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction

Computes the distance between two given DatabaseObjects according to this distance function.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction

Provides the Dynamic Time Warping distance between the given two vectors.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction

Provides the Edit Distance on Real Sequence distance between the given two vectors.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction

Provides the Edit Distance With Real Penalty distance between the given two vectors.

distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction

Provides the Longest Common Subsequence distance between the given two vectors.

distance(V, V) - 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_FUNCTION - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SODModel

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

OptionID for ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

OptionID for DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

OptionID for KNNExplorer.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

OptionID for AbstractMTree.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

OptionID for RdKNNTree.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

OptionID for NumberDistanceParser.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

OptionID for MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

OptionID for ProjectedDBSCANPreprocessor.DISTANCE_FUNCTION_PARAM

DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

OptionID for SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM

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

Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Parameter for distance function

DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser

Parameter for distance function.

DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

Parameter to indicate the distance function to be used to ascertain the nearest neighbors.

DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

Parameter distance function

DISTANCE_FUNCTION_PARAM - 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_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

OptionID for RepresentationSelectingDistanceFunction.DISTANCE_FUNCTIONS_PARAM

DISTANCE_FUNCTIONS_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RepresentationSelectingDistanceFunction

Parameter to specify the distance functions

DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

OptionID for CacheDoubleDistanceInOnDiskMatrix.DISTANCE_PARAM

DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

OptionID for CacheFloatDistanceInOnDiskMatrix.DISTANCE_PARAM

DISTANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Parameter that specifies the name of the directory to be re-parsed.

DISTANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Parameter that specifies the name of the directory to be re-parsed.

DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>,R extends Result> - 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 - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

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

Holds the instance of the distance function specified by ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM.

distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

The euclidean 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.application.visualization.KNNExplorer

Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_PARAM.

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

Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_PARAM.

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

Holds the instance of the distance function specified by AbstractMTree.DISTANCE_FUNCTION_PARAM.

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.MaterializeKNNPreprocessor

Hold the distance function to be used.

distanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor

Hold the distance function to be used.

distanceFunction - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DistanceFunctionPatternConstraint

The distance function the pattern is checked for.

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<Pair<O, List<String>>>, Map<Pair<Integer, Integer>, D>) - Constructor for class de.lmu.ifi.dbs.elki.parser.DistanceParsingResult

Provides a list of database objects, a list of label objects associated with these objects and cached distances between these objects.

DistanceResultPair<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database

Class that consists of a pair (distance, object ID) commonly returned for kNN and range queries.

DistanceResultPair(D, Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.DistanceResultPair

Canonical constructor

DistanceStatisticsWithClasses<V extends RealVector<V,?>,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics

Algorithm to gather statistics over the distance distribution in the data set.

DistanceStatisticsWithClasses() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

Empty constructor.

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

Return a list containing just the distances

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

Class with distance related utility functions.

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

Distribution - Interface in de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution

Interface for a simple distribution generator with a PDF, i.e. it can also compute a density

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

document - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

SVG document we plot to.

DocumentParameters - Class in de.lmu.ifi.dbs.elki.application.internal

Class to generate HTML parameter descriptions for all classes implementing the Parameterizable interface.

DocumentParameters() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

DocumentParameters.SortByName - Class in de.lmu.ifi.dbs.elki.application.internal

DocumentParameters.SortByName() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByName

DocumentParameters.SortByOption - Class in de.lmu.ifi.dbs.elki.application.internal

DocumentParameters.SortByOption() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption

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 objects

dofit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Which parameters to fit

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, SpatialDistanceFunction<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<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Performs a range query on the specified subtree.

doReverseKNN(RdKNNNode<D, N>, O, List<DistanceResultPair<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.mktrees.mkapp.MkAppTree

Performs a reverse knn query.

doReverseKNNQuery(int, Integer, List<DistanceResultPair<D>>, List<Integer>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Performs a reverse knn query.

doReverseKNNQuery(Integer, MkMaxTreeNode<O, D>, MkMaxEntry<D>, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Performs a reverse k-nearest neighbor query in the specified subtree for the given query object with k = AbstractMkTree.k_max.

doReverseKNNQuery(int, Integer, MkTabEntry<D>, MkTabTreeNode<O, D>, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.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>, FiniteProgress) - 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_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Magic to identify double cache matrices

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

The association id to associate a DoubleDistance to an object.

DOUBLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Storage required for a double value.

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.

DoubleDoubleHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.Histogram

Convenience constructor for Histograms with pairs of Doubles Uses a constructor to initialize bins with Pair(Double(0),Double(0))

DoubleDoublePair - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Pair storing two doubles.

DoubleDoublePair(double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Constructor

DoubleHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.Histogram

Convenience constructor for Double-based Histograms.

DoubleIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Pair storing an integer and a double.

DoubleIntPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Constructor

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

Parameter class for a parameter specifying a list of double values.

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

Constructs a list parameter with the given optionID.

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

Constructs a list parameter with the given optionID.

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

Constructs a list parameter with the given optionID.

DoubleMinMax - Class in de.lmu.ifi.dbs.elki.math

Class to find the minimum and maximum double values in data.

DoubleMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Constructor without starting values.

DoubleMinMax(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Constructor with predefined minimum and maximum values.

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

Constructs a double parameter with the given optionID and default value.

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.

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

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

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

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

Parser reads points transposed.

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

Provides a parser to read points transposed (per column).

DoubleVectorProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta

Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.

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

DoubleVectorRandomProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta

Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.

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

drawAxis(SVGPlot, Element, LinearScale, double, double, double, double, boolean, boolean) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

Plot an axis with appropriate scales

DTWDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Provides the Dynamic Time Warping distance for NumberVectors.

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

Provides a Dynamic Time Warping distance function that can compute the Dynamic Time Warping distance (that is a DoubleDistance) for NumberVectors.

DummyAlgorithm<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm

Dummy Algorithm, which just iterates over all points once, doing a 10NN query each.

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

Empty constructor.

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