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

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D

d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Holds the value of AbstractDBOutlier.D_ID.
d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier.Parameterizer
d - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition: Arrays for internal storage of eigenvalues.
D_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Parameter to specify the size of the D-neighborhood
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.
DARKEN - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite: Darken-only blending.
DashedLineStyleLibrary - Class in de.lmu.ifi.dbs.elki.visualization.style.lines: Line library using various dashed and dotted line styles.
DashedLineStyleLibrary(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary: Constructor
dashnum - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
dashpatterns - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary: Dash patterns to regularly use
data - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore: Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore: Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore: Storage Map
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore: Storage Map
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs: Data storage
data(int, int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
data(int, int) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle: Access a particular object and representation.
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle: Get the value of the ith component.
data(int, int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
data - Variable in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: Data storage
data - Variable in class de.lmu.ifi.dbs.elki.utilities.Util.MaskedArrayList: Data storage
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.application.cache.CacheDoubleDistanceInOnDiskMatrix: Holds the database connection to have the algorithm run with.
database - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer: Holds the database connection to have the algorithm run with.
database - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Holds the database connection to have the algorithm run with.
database - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer: Holds the database connection to have the algorithm run with.
database - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Holds the database connection to have the algorithm run with.
database - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.Parameterizer
database - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster: The database this bicluster is defined for.
Database - 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.database.relation.DBIDView: The database
database - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation: Our database
database - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView: Our database
database - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractDBIDSimilarityFunction: The database we work on
database - Variable in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator: The database we use
DATABASE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for InputStep
database - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: The database we use
database - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation: Database
database - Variable in class de.lmu.ifi.dbs.elki.workflow.InputStep: Holds the database to have the algorithms run with.
database - Variable in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer: Holds the database to have the algorithms run on.
DATABASE_CONNECTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for InputStep
DATABASE_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages: Messages in case a database is unexpectedly empty.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: The data source we get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer: Holds the database connection to get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase: The data source we get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer: Holds the database connection to get the initial data from.
DatabaseConnection - Interface in de.lmu.ifi.dbs.elki.datasource: DatabaseConnection is used to load data into a database.
DatabaseEventManager - Class in de.lmu.ifi.dbs.elki.database
DatabaseEventManager() - Constructor for class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
DatabaseQuery - Interface in de.lmu.ifi.dbs.elki.database.query: General interface for database queries.
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
DatabaseUtil.CollectionFromRelation<O> - Class in de.lmu.ifi.dbs.elki.utilities: Collection view on a database that retrieves the objects when needed.
DatabaseUtil.CollectionFromRelation(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.CollectionFromRelation: Constructor.
DatabaseUtil.RelationObjectIterator<O> - Class in de.lmu.ifi.dbs.elki.utilities: Iterator class that retrieves the given objects from the database.
DatabaseUtil.RelationObjectIterator(Iterator<DBID>, Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator: Full Constructor.
DatabaseUtil.RelationObjectIterator(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator: Simplified constructor.
dataLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
dataLength() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle: Get the number of objects contained.
dataLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
dataProjections(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the data vectors after projection.
DataStore<T> - Interface in de.lmu.ifi.dbs.elki.database.datastore: Generic storage interface for objects indexed by DBID.
DataStoreEvent - Class in de.lmu.ifi.dbs.elki.database.datastore: Encapsulates information describing changes, i.e. updates, insertions, and / or deletions in a DataStore, and used to notify all subscribed DataStoreListener of the change.
DataStoreEvent(Object, Map<DataStoreEvent.Type, DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent: Used to create an event when objects have been updated in, inserted into, and / or removed from the specified DataStore.
DataStoreEvent.Type - Enum in de.lmu.ifi.dbs.elki.database.datastore: Available event types.
DataStoreEvent.Type() - Constructor for enum de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent.Type
DataStoreFactory - Interface in de.lmu.ifi.dbs.elki.database.datastore: API for a storage factory used for producing larger storage maps.
DataStoreIDMap - Interface in de.lmu.ifi.dbs.elki.database.datastore: Interface to map DBIDs to integer record ids for use in storage.
DataStoreListener - Interface in de.lmu.ifi.dbs.elki.database.datastore: Defines the interface for an object that listens to changes in a DataStore.
dataStoreObjects - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager: The objects that were changed in the current DataStoreEvent.
DataStoreUtil - Class in de.lmu.ifi.dbs.elki.database.datastore: Storage utility class.
DataStoreUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil
dataVector(V) - 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.jsmap.JSONWebServer: The database we use for obtaining object bundles
db - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
db - Variable in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.CollectionFromRelation: The database we query
dbgStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Debug message style
DBID - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Database IDs
DBID - Interface in de.lmu.ifi.dbs.elki.database.ids: Database ID object.
DBIDDistanceFunction<D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Distance functions valid in a database context only (i.e. for DBIDs) For any "distance" that cannot be computed for arbitrary objects, only those that exist in the database and referenced by their ID.
DBIDDistanceQuery<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance: Run a distance query based on DBIDs
DBIDDistanceQuery(Relation<DBID>, DBIDDistanceFunction<D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery: Constructor.
DBIDFactory - Interface in de.lmu.ifi.dbs.elki.database.ids: Factory interface for generating DBIDs.
DBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids: Immutable pair of two DBIDs.
DBIDRange - Interface in de.lmu.ifi.dbs.elki.database.ids: Static DBID range.
dbids - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODProxyScoreResult: The IDs we are defined for
DBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids: Interface for a collection of database references (IDs).
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult: The DBIDs we are defined for
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter: Database IDs
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter: DBIDs
dbids - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: The DBIDs to display
DBIDSelection - Class in de.lmu.ifi.dbs.elki.result: Class representing selected Database-IDs and/or a selection range.
DBIDSelection(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.result.DBIDSelection: Constructor with new object IDs.
DBIDSimilarityFunction<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction: Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs.
DBIDUtil - Class in de.lmu.ifi.dbs.elki.database.ids: DBID Utility functions.
DBIDUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Static - no public constructor.
DBIDView - Class in de.lmu.ifi.dbs.elki.database.relation: Pseudo-representation that is the object ID itself.
DBIDView(Database, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.DBIDView: Constructor.
DBOutlierDetection<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Simple distanced based outlier detection algorithm.
DBOutlierDetection(DistanceFunction<O, D>, D, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection: Constructor with actual parameters.
DBOutlierDetection.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Parameterization class.
DBOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer
DBOutlierScore<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Compute percentage of neighbors in the given neighborhood with size d.
DBOutlierScore(DistanceFunction<O, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore: Constructor with parameters.
DBOutlierScore.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Parameterization class.
DBOutlierScore.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore.Parameterizer
DBSCAN<O,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(DistanceFunction<? super O, D>, D, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Constructor with parameters.
DBSCAN.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: Parameterization class.
DBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer
dbsize - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Database size
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.clustering.trivial - package de.lmu.ifi.dbs.elki.algorithm.clustering.trivial: Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.
de.lmu.ifi.dbs.elki.algorithm.outlier - package de.lmu.ifi.dbs.elki.algorithm.outlier: Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.meta - package de.lmu.ifi.dbs.elki.algorithm.outlier.meta: Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial: Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood: Spatial outlier neighborhood classes
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted: Weighted Neighborhood definitions.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial - package de.lmu.ifi.dbs.elki.algorithm.outlier.trivial: Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
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.jsmap - package de.lmu.ifi.dbs.elki.application.jsmap: JavaScript based map client - server architecture.
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.images - package de.lmu.ifi.dbs.elki.data.images: Package for processing image data (e.g. compute color histograms)
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.spatial - package de.lmu.ifi.dbs.elki.data.spatial: Spatial data types - interfaces and utilities.
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.data.type - package de.lmu.ifi.dbs.elki.data.type: Data type information, also used for type restrictions.
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.datastore - package de.lmu.ifi.dbs.elki.database.datastore: General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
de.lmu.ifi.dbs.elki.database.datastore.memory - package de.lmu.ifi.dbs.elki.database.datastore.memory: Memory data store implementation for ELKI.
de.lmu.ifi.dbs.elki.database.ids - package de.lmu.ifi.dbs.elki.database.ids: Database object identification and ID group handling API.
de.lmu.ifi.dbs.elki.database.ids.generic - package de.lmu.ifi.dbs.elki.database.ids.generic: Database object identification and ID group handling - generic implementations.
de.lmu.ifi.dbs.elki.database.ids.integer - package de.lmu.ifi.dbs.elki.database.ids.integer: Integer-based DBID implementation -- do not use directly - always use DBIDUtil.
de.lmu.ifi.dbs.elki.database.query - package de.lmu.ifi.dbs.elki.database.query: Database queries - computing distances, neighbors, similarities - API and general documentation.
de.lmu.ifi.dbs.elki.database.query.distance - package de.lmu.ifi.dbs.elki.database.query.distance: Prepared queries for distances.
de.lmu.ifi.dbs.elki.database.query.knn - package de.lmu.ifi.dbs.elki.database.query.knn: Prepared queries for k nearest neighbor (kNN) queries.
de.lmu.ifi.dbs.elki.database.query.range - package de.lmu.ifi.dbs.elki.database.query.range: Prepared queries for ε-range queries.
de.lmu.ifi.dbs.elki.database.query.rknn - package de.lmu.ifi.dbs.elki.database.query.rknn: Prepared queries for reverse k nearest neighbor (rkNN) queries.
de.lmu.ifi.dbs.elki.database.query.similarity - package de.lmu.ifi.dbs.elki.database.query.similarity: Prepared queries for similarity functions.
de.lmu.ifi.dbs.elki.database.relation - package de.lmu.ifi.dbs.elki.database.relation: Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.datasource - package de.lmu.ifi.dbs.elki.datasource: Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.bundle - package de.lmu.ifi.dbs.elki.datasource.bundle: Object bundles - exchange container for multi-represented objects.
de.lmu.ifi.dbs.elki.datasource.filter - package de.lmu.ifi.dbs.elki.datasource.filter: Data filtering, in particular for normalization and projection.
de.lmu.ifi.dbs.elki.datasource.parser - package de.lmu.ifi.dbs.elki.datasource.parser: Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.distance - package de.lmu.ifi.dbs.elki.distance: Distance values, 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.colorhistogram - package de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram: Distance functions using correlations.
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.geo - package de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Geographic (earth) distance functions.
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.distancevalue - package de.lmu.ifi.dbs.elki.distance.distancevalue: Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.
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.histogram - package de.lmu.ifi.dbs.elki.evaluation.histogram: Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.index - package de.lmu.ifi.dbs.elki.evaluation.index: Simple index evaluation methods
de.lmu.ifi.dbs.elki.evaluation.outlier - package de.lmu.ifi.dbs.elki.evaluation.outlier: Evaluate an outlier score using a misclassification based cost model.
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.evaluation.similaritymatrix - package de.lmu.ifi.dbs.elki.evaluation.similaritymatrix: Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.gui - package de.lmu.ifi.dbs.elki.gui: Graphical User Interfaces for ELKI
de.lmu.ifi.dbs.elki.gui.configurator - package de.lmu.ifi.dbs.elki.gui.configurator: Configurator components
de.lmu.ifi.dbs.elki.gui.icons - package de.lmu.ifi.dbs.elki.gui.icons: Icons for ELKI GUI.
de.lmu.ifi.dbs.elki.gui.minigui - package de.lmu.ifi.dbs.elki.gui.minigui: A very simple UI to build ELKI command lines.
de.lmu.ifi.dbs.elki.gui.multistep - package de.lmu.ifi.dbs.elki.gui.multistep: Multi-step GUI for ELKI
de.lmu.ifi.dbs.elki.gui.multistep.panels - package de.lmu.ifi.dbs.elki.gui.multistep.panels: Panels for the multi-step GUI
de.lmu.ifi.dbs.elki.gui.util - package de.lmu.ifi.dbs.elki.gui.util: Utility classes for GUIs (e.g. a class to display a logging panel)
de.lmu.ifi.dbs.elki.index - package de.lmu.ifi.dbs.elki.index: Index structure implementations
de.lmu.ifi.dbs.elki.index.preprocessed - package de.lmu.ifi.dbs.elki.index.preprocessed: Index structure based on preprocessors
de.lmu.ifi.dbs.elki.index.preprocessed.knn - package de.lmu.ifi.dbs.elki.index.preprocessed.knn: Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca - package de.lmu.ifi.dbs.elki.index.preprocessed.localpca: Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference - package de.lmu.ifi.dbs.elki.index.preprocessed.preference: Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.preprocessed.snn - package de.lmu.ifi.dbs.elki.index.preprocessed.snn: Indexes providing nearest neighbor sets
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj - package de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj: Index using a preprocessed local subspaces.
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.query - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query: Classes for performing queries (knn, range, ...) on metrical trees.
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.query - package de.lmu.ifi.dbs.elki.index.tree.query: Classes related to generic tree queries.
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.bulk - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk: Packages for bulk-loading R*-Trees.
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.query - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query: Queries on the R-Tree family of indexes: kNN and range queries.
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.logging.progress - package de.lmu.ifi.dbs.elki.logging.progress: Progress status objects (for UI)
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.persistent - package de.lmu.ifi.dbs.elki.persistent: Persistent data management.
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.optics - package de.lmu.ifi.dbs.elki.result.optics: Result classes for OPTICS.
de.lmu.ifi.dbs.elki.result.outlier - package de.lmu.ifi.dbs.elki.result.outlier: Outlier result classes
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.naming - package de.lmu.ifi.dbs.elki.result.textwriter.naming: Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
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.datastructures - package de.lmu.ifi.dbs.elki.utilities.datastructures: Basic memory structures such as heaps and object hierarchies.
de.lmu.ifi.dbs.elki.utilities.datastructures.heap - package de.lmu.ifi.dbs.elki.utilities.datastructures.heap: Heap structures and variations such as bounded priority heaps.
de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy - package de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy: Delegate implementation of a hierarchy.
de.lmu.ifi.dbs.elki.utilities.designpattern - package de.lmu.ifi.dbs.elki.utilities.designpattern: Interfaces and implementations related to common "design patterns".
de.lmu.ifi.dbs.elki.utilities.documentation - package de.lmu.ifi.dbs.elki.utilities.documentation: Documentation utilities: Annotations for Title, Description, Reference
de.lmu.ifi.dbs.elki.utilities.exceptions - package de.lmu.ifi.dbs.elki.utilities.exceptions: Exception classes and common exception messages.
de.lmu.ifi.dbs.elki.utilities.iterator - package de.lmu.ifi.dbs.elki.utilities.iterator: Various Iterator decorators and adapters.
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.optionhandling.parameterization - package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Configuration managers See the de.lmu.ifi.dbs.elki.utilities.optionhandling package for documentation!
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters - package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Classes for various typed parameters.
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.referencepoints - package de.lmu.ifi.dbs.elki.utilities.referencepoints: Package containing strategies to obtain reference points Shared code for various algorithms that use reference points.
de.lmu.ifi.dbs.elki.utilities.scaling - package de.lmu.ifi.dbs.elki.utilities.scaling: Scaling functions: linear, logarithmic, gamma, clipping, ...
de.lmu.ifi.dbs.elki.utilities.scaling.outlier - package de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling of Outlier scores, that require a statistical analysis of the occurring values
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.gui - package de.lmu.ifi.dbs.elki.visualization.gui: Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.gui.detail - package de.lmu.ifi.dbs.elki.visualization.gui.detail: Classes for managing a detail view.
de.lmu.ifi.dbs.elki.visualization.gui.overview - package de.lmu.ifi.dbs.elki.visualization.gui.overview: Classes for managing the overview plot.
de.lmu.ifi.dbs.elki.visualization.opticsplot - package de.lmu.ifi.dbs.elki.visualization.opticsplot: Code for drawing OPTICS plots
de.lmu.ifi.dbs.elki.visualization.projections - package de.lmu.ifi.dbs.elki.visualization.projections: Visualization projections
de.lmu.ifi.dbs.elki.visualization.projector - package de.lmu.ifi.dbs.elki.visualization.projector: Projectors are responsible for finding appropriate projections for data relations.
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.style - package de.lmu.ifi.dbs.elki.visualization.style: Style management for ELKI visualizations.
de.lmu.ifi.dbs.elki.visualization.style.lines - package de.lmu.ifi.dbs.elki.visualization.style.lines: Generate line styles for plotting in CSS
de.lmu.ifi.dbs.elki.visualization.style.marker - package de.lmu.ifi.dbs.elki.visualization.style.marker: Draw plot markers
de.lmu.ifi.dbs.elki.visualization.svg - package de.lmu.ifi.dbs.elki.visualization.svg: Base SVG functionality (generation, markers, thumbnails, export, ...).
de.lmu.ifi.dbs.elki.visualization.visualizers - package de.lmu.ifi.dbs.elki.visualization.visualizers: Visualizers for various results
de.lmu.ifi.dbs.elki.visualization.visualizers.events - package de.lmu.ifi.dbs.elki.visualization.visualizers.events: Events occuring in visualization contexts
de.lmu.ifi.dbs.elki.visualization.visualizers.optics - package de.lmu.ifi.dbs.elki.visualization.visualizers.optics: Visualizers that do work on OPTICS plots
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel - package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel: Visualizers based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs - package de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs: Thumbnail "Visualizers" (that take care of refreshing thumbnails)
de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d - package de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d: Visualizers based on 1D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d - package de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Visualizers based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj - package de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj: Visualizers that do not use a particular projection.
de.lmu.ifi.dbs.elki.workflow - package de.lmu.ifi.dbs.elki.workflow: Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
deallocateDBIDRange(DBIDRange) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
deallocateSingleDBID(DBID) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory: Return a single DBID for reuse.
deallocateSingleDBID(DBID) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Return a single DBID for reuse.
deallocateSingleDBID(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
deallocateSingleDBID(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
deallocateSingleDBID(DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection: Undo the rearrangement of components
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
debug(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debug(CharSequence) - 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.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: Optional Parameter to specify a class to enable debugging for.
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.
debugFine(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFine(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFiner(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFiner(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFinest(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finest' debugging level.
debugFinest(CharSequence) - 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.gui.util.LogPane: Formatter for debugging messages
debugformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Formatter for debugging messages
decoder - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.StringSerializer: Decoder
DEFAULT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Default
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: The default value for HiCO.ALPHA_ID.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory: The default value for alpha.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter: The default value for alpha.
DEFAULT_ARFF_MAGIC_CLASS - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Pattern to auto-convert columns to class labels.
DEFAULT_ARFF_MAGIC_EID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser: Pattern to auto-convert columns to external ids.
DEFAULT_BINS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.P1DHistogramVisualizer.Factory: Number of bins to use in histogram.
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.algorithm.clustering.correlation.HiCO: The default value for HiCO.DELTA_ID.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: The default value for delta.
DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory: The default value for epsilon.
DEFAULT_HIDEVIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer: Default pattern for visualizer disabling.
DEFAULT_IGNORES - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil: Default package ignores.
DEFAULT_INITIAL_CAPACITY - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap: Default initial capacity
DEFAULT_MAX_DEGREE - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: The default max_degree.
DEFAULT_PALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: The default value for alpha.
DEFAULT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier: The default pattern to use.
DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers: Default prefix to use.
DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.Thumbnailer: Default prefix
DEFAULT_PROPERTIES_EXTENSION - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: File extension
DEFAULT_PROPERTIES_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Default properties path
DEFAULT_QUALITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Default JPEG quality setting
DEFAULT_RALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter: The default value for ralpha.
DEFAULT_SCHEME_FILENAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: File name of the default color scheme.
DEFAULT_SCHEME_NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary: Name of the default color scheme.
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.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory: 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.gui.ResultVisualizer: Default title
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.
defaultHandlers - Static variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep
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.parameters.Parameter: The default value of the parameter (may be null).
defaultValueTaken - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.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.
deg2rad(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Convert Degree to Radians
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Degree of the polynomial kernel function
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Degree parameter
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODProxyScoreResult
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
delete(DBID) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore: Delete the contents for a particular ID and notifies the registered listeners.
delete(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: Removes the objects from the database (by calling HashmapDatabase.doDelete(DBID) for each object) and indexes and fires a deletion event.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation: Delete an objects values.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
delete(DBID) - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation: Delete an objects values.
delete(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase: Removes and returns the specified objects with the given ids from the database.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.AbstractIndex
delete(DBID) - Method in interface de.lmu.ifi.dbs.elki.index.Index: Deletes the specified object from this index.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Deletes the specified object from this index.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Deletes the specified object from this index.
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter
delete(DBID) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.AbstractIndex
deleteAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.index.Index: Deletes the specified objects from this index.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
deleteAllEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Deletes all entries in this node.
deleteButton - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: Button to delete the selected objects
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization: Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization: Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization: Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ToolBox2DVisualization: Deletes the children of the container
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.
deleteNode(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: Delete a node from the backing storage.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
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 interface 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.
deletePath(IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Delete a leaf at a given path - deletions for non-leaves are not supported!
DeLiClu<NV extends NumberVector<NV,?>,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(DistanceFunction<? super NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Constructor.
DeLiClu.Parameterizer<NV extends NumberVector<NV,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: Parameterization class.
DeLiClu.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.Parameterizer
DeLiClu.SpatialObjectPair - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: Encapsulates an entry in the cluster order.
DeLiClu.SpatialObjectPair(D, 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(DBID, NumberVector<?, ?>) - 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(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 - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: DeLiCluTree is a spatial index structure based on an R-TRee.
DeLiCluTree(PageFile<DeLiCluNode>, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Constructor.
DeLiCluTreeFactory<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Factory for DeLiClu R*-Trees.
DeLiCluTreeFactory(String, int, long, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory: Constructor.
DeLiCluTreeFactory.Parameterizer<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Parameterization class.
DeLiCluTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Parameterizer
DeLiCluTreeIndex<O extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: The common use of the DeLiClu tree: indexing number vectors.
DeLiCluTreeIndex(Relation<O>, PageFile<DeLiCluNode>, BulkSplit, InsertionStrategy) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Constructor.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Holds the value of EM.DELTA_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer
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_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance: Holds the value of ERiCDistanceFunction.DELTA_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Parameterizer
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Holds the value of PCABasedCorrelationDistanceFunction.DELTA_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance: Delta value
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: Keeps the currently set delta.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex: The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory: The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer: The threshold for small eigenvalues.
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.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer: Threshold for strong eigenpairs, can be absolute or relative.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction: Convergence parameter
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.correlation.HiCO: 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_ID - Static 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_ID - Static 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 strong 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_ID - 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_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: DELTA parameter
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory: Parameter for Delta
deltaparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
DendrogramModel<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.data.model: Model for dendrograms, provides the distance to the child cluster.
DendrogramModel(D) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
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.
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.EpanechnikovKernelDensityFunction
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.GaussianKernelDensityFunction
density(double) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.KernelDensityFunction: Density contribution of a point at the given relative distance delta.
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.TriangularKernelDensityFunction
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.UniformKernelDensityFunction
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: Flag to use random sample (use knn query around centroid, if flag is not set).
DependencyDerivator<V extends NumberVector<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(PrimitiveDistanceFunction<V, D>, NumberFormat, PCAFilteredRunner<V>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Constructor.
DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm: Parameterization class.
DependencyDerivator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
depth() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel: The length of the hierarchy of names.
depth - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
descend(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
descendingIterator() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon: Return an iterator that iterates the list backwards.
describeParameterizable(StringBuffer, Class<?>, int, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil: Format a description of a Parameterizable (including recursive options).
Description - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation: Class/algorithm description
DESCRIPTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: Optional Parameter to specify a class to obtain a description for.
description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: The description of the OptionID.
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
destroy() - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore: Deallocate the storage, freeing the memory and notifies the registered listeners.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Remove the listeners
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Cleanup function.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.AbstractTooltipVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.BubbleVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusteringVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.ClusterOrderVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DotVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.PolygonVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeMBRVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeSphereVisualization
destroy() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization: Destroy the visualization.
destroyToNaiveMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Obtain the covariance matrix according to the population statistics: n degrees of freedom.
destroyToSampleMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix: Obtain the covariance matrix according to the sample statistics: (n-1) degrees of freedom.
destroyVisualizations() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
destsize - Variable in class de.lmu.ifi.dbs.elki.math.FlexiHistogram: Destination (minimum) size of the structure.
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
detachPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas: Execute the detaching event.
detailsEnabled(VisualizationTask) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerUtil: Test whether a detail plot is available for this task.
DetailView - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail: Manages a detail view.
DetailView(VisualizerContext, PlotItem, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView: Constructor.
DetailView.InsertVisualization - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail: Class used to insert a new visualization layer
DetailView.InsertVisualization(Visualization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView.InsertVisualization: Visualization.
DetailViewSelectedEvent - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview: Event when a particular subplot was selected.
DetailViewSelectedEvent(OverviewPlot, int, String, int, PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent: Constructor.
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() - 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(List<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 of the global extremum.
determineIDs(DBIDs, 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. the parameterization functions falling within the interval.
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.
determineMinMaxDistance(Relation<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(Heap<IntegerPriorityObject<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(Relation<V>, ModifiableDBIDs[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(Relation<V>, DBID, DBIDs, StringBuffer) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(Relation<V>, ModifiableDBIDs[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(ModifiableDBIDs[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Determines the preference vector with the max intersection strategy.
dfs(CLIQUEUnit<V>, ModifiableDBIDs, CLIQUESubspace<V>) - 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.
DIALOG_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DIALOG_INFORMATION - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DIALOG_WARNING - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
difference(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil: Returns the difference of the two specified collection of IDs.
digits - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipScoreVisualization.Factory.Parameterizer
DIGITS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipScoreVisualization.Factory: Parameter for the gamma-correction.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch: Database dimensionality
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.datasource.RandomDoubleVectorDatabaseConnection: Dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
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.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
dim - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: the dimensionality of the transformation
dim - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization: Dimension
dim1 - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D: Dimensions for fast projection mode.
dim2 - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D: Dimensions for fast projection mode.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer: Database to specify the random vector dimensionality Key: -dbc.dim
DIM_ID - Static 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 - Variable in class de.lmu.ifi.dbs.elki.data.Subspace: The dimensionality of this subspace.
dimensionality() - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns the dimensionality of this subspace.
dimensionality() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation: Get the dimensionality of the type.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SparseFloatVectorLabelParser: Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance: The dimensionality of the feature space (needed for serialization).
dimensionality - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurve.Transformer: Dimensionality
dimensionality(Relation<? extends FeatureVector<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil: Get the dimensionality of a database
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.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer
DimensionSelectingDistanceFunction - 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(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Constructor.
DimensionSelectingDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Parameterization class.
DimensionSelectingDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
DimensionSelectingLatLngDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Distance function for 2D vectors in Latitude, Longitude form.
DimensionSelectingLatLngDistanceFunction(int, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction: Constructor.
DimensionSelectingLatLngDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo: Parameterization class.
DimensionSelectingLatLngDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
DimensionsSelectingEuclideanDistanceFunction - 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(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction: Constructor.
DimensionsSelectingEuclideanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Parameterization class.
DimensionsSelectingEuclideanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction.Parameterizer
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.
dimensonsToString() - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns a string representation of the dimensions of this subspace separated by comma.
dimensonsToString(String) - Method in class de.lmu.ifi.dbs.elki.data.Subspace: Returns a string representation of the dimensions of this subspace.
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction: Latitude dimension
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer: Latitude dimension
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction: Longitude dimension
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer: Longitude dimension
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter: Selected dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter.Parameterizer: Dimensions to use.
dims - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid: The selected dimensions.
DIMS_ID - Static 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.IndexTree: 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).
DirectoryEntry - Interface in de.lmu.ifi.dbs.elki.index.tree: Directory Entry
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree: 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.
disableInteractions - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Flag whether Batik interactions should be disabled.
disableStart() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Disable capturing of 'mousedown' events.
disableStop() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Disable capturing of 'mousemove' and 'mouseup' events.
discarded - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Discarded count
DiscardResultHandler - 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 NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Algorithm for detecting subspace hierarchies.
DiSH(double, DiSHDistanceFunction, Collection<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Constructor.
DiSH.Parameterizer<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Parameterization class.
DiSH.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: The distance function we use
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
DiSHDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Distance function used in the DiSH algorithm.
DiSHDistanceFunction(DiSHPreferenceVectorIndex.Factory<NumberVector<?, ?>>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction: Constructor.
DiSHDistanceFunction.Instance<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: The actual instance bound to a particular database.
DiSHDistanceFunction.Instance(Relation<V>, DiSHPreferenceVectorIndex<V>, double, DiSHDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Instance: Constructor.
DiSHDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Parameterization class.
DiSHDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Parameterizer
DiSHPreferenceVectorIndex<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Preprocessor for DiSH preference vector assignment to objects of a certain database.
DiSHPreferenceVectorIndex(Relation<V>, DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex: Constructor.
DiSHPreferenceVectorIndex.Factory<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Factory class
DiSHPreferenceVectorIndex.Factory(DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory: Constructor.
DiSHPreferenceVectorIndex.Factory.Parameterizer<V extends NumberVector<?,?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Parameterization class.
DiSHPreferenceVectorIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer
DiSHPreferenceVectorIndex.Strategy - Enum in de.lmu.ifi.dbs.elki.index.preprocessed.preference: Available strategies for determination of the preference vector.
DiSHPreferenceVectorIndex.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Strategy
DiskCacheBasedDoubleDistanceFunction - 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(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Constructor.
DiskCacheBasedDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Parameterization class.
DiskCacheBasedDoubleDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer
DiskCacheBasedFloatDistanceFunction - 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(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Constructor.
DiskCacheBasedFloatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Parameterization class.
DiskCacheBasedFloatDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer
dispose() - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Cancel the overview, i.e. stop the thumbnailer
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Clean up the plot.
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.
dist - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Distance type
dist - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TreeSphereVisualization: Drawing mode (distance) to use
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair: The current distance.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer
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.CacheDoubleDistanceInOnDiskMatrix.Parameterizer: 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 - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer: Distance function that is to be cached.
distance(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the distance of NumberVector p from the hyperplane underlying this solution.
distance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the distance of Matrix p from the hyperplane underlying this solution.
distance - Variable in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
distance(O, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(DBID, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBID, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
distance(DBID, DBID) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, DBID) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBID, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(O, DBID) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(DBID, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance - Variable in class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair: Distance value
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDDistanceFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
distance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
distance(NumberVector<?, ?>, NumberVector<?, ?>, 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(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance: Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
distance(DBID, DBID) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DBIDDistanceFunction: Returns the distance between the two objects specified by their object ids.
distance(DBID, DBID) - 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(DBID, DBID) - 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(DBID, DBID) - 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(DBID, DBID) - 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(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance: Computes the distance between two given real vectors according to this distance function.
distance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Instance
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance
distance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction.Instance: 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.Instance: Computes the distance between two given DatabaseObjects according to this distance function.
Distance<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancevalue: The interface Distance defines the requirements of any instance class.
distance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
distance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry: The distance value belonging to the entry.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the two specified ids.
distance(DBID, O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the given object and the id.
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry: Distance value
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm: OptionID for AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: The distance function to determine the distance between database objects.
DISTANCE_FUNCTION_ID - Static 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_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberDistanceParser: Parameter for distance function.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance: OptionID for the base distance used to compute reachability
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory: Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
distanceAdapter - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The mapping from cluster order entry to value
distancecache - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
distanceCache - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.DistanceParsingResult: The cache of precomputed distances between the database objects.
distanceCalcs - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: For counting the number of distance computations.
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.AbstractDistanceBasedAlgorithm: Holds the instance of the distance function specified by AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm: Holds the instance of the distance function specified by AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering: The euclidean distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN: Holds the instance of the distance function specified by AbstractProjectedDBSCAN.INNER_DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection: Distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer: The distance function to use on the non-spatial attributes.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery: The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery: The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery: The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberDistanceParser: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberDistanceParser.Parameterizer: The distance function.
DistanceFunction<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Base interface for any kind of distances.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer: The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Holds the instance of the trees distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory: Holds the instance of the distance function specified by AbstractMTreeFactory.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery: Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery: Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery: Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery: Spatial primitive distance function
DISTANCEFUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer: Parameter to specify the distance function to use
DistanceParameter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a double value.
DistanceParameter(OptionID, D, List<ParameterConstraint<D>>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraints, and default value.
DistanceParameter(OptionID, DistanceFunction<?, D>, List<ParameterConstraint<D>>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraints, and default value.
DistanceParameter(OptionID, D, List<ParameterConstraint<D>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraints, and optional flag.
DistanceParameter(OptionID, DistanceFunction<?, D>, List<ParameterConstraint<D>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraints, and optional flag.
DistanceParameter(OptionID, D, List<ParameterConstraint<D>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, and parameter constraints.
DistanceParameter(OptionID, DistanceFunction<?, D>, List<ParameterConstraint<D>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, and parameter constraints.
DistanceParameter(OptionID, D, ParameterConstraint<D>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraint, and default value.
DistanceParameter(OptionID, DistanceFunction<?, D>, ParameterConstraint<D>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraint, and default value.
DistanceParameter(OptionID, D, ParameterConstraint<D>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraint, and optional flag.
DistanceParameter(OptionID, DistanceFunction<?, D>, ParameterConstraint<D>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, parameter constraint, and optional flag.
DistanceParameter(OptionID, D, ParameterConstraint<D>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, and parameter constraint.
DistanceParameter(OptionID, DistanceFunction<?, D>, ParameterConstraint<D>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID, and parameter constraint.
DistanceParameter(OptionID, D, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, DistanceFunction<?, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, D, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, DistanceFunction<?, D>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID.
DistanceParameter(OptionID, DistanceFunction<?, D>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter: Constructs a double parameter with the given optionID.
DistanceParser<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.datasource.parser: A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
DistanceParsingResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.datasource.parser: Provides a list of database objects and labels associated with these objects and a cache of precomputed distances between the database objects.
DistanceParsingResult(MultipleObjectsBundle, Map<DBIDPair, D>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DistanceParsingResult: Provides a list of database objects, a list of label objects associated with these objects and cached distances between these objects.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow: Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_ID.
DistanceQuery<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.database.query.distance: A distance query serves as adapter layer for database and primitive distances.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery: Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery: Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery: Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The distance query we used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: The distance query
DistanceResultPair<D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.database.query: Class that consists of a pair (distance, object ID) commonly returned for kNN and range queries.
DistanceSimilarityQuery<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.query: Interface that is a combination of distance and a similarity function.
DistanceStatisticsWithClasses<O,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(DistanceFunction<? super O, D>, int, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: Constructor.
DistanceStatisticsWithClasses.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics: Parameterization class.
DistanceStatisticsWithClasses.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
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
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory: distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer: Distance function
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
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector: Database dimensionality
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector: Database dimensionality
dnum - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D: Our dimension, starting with 0
document - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: SVG document we plot to.
DOCUMENT_OPEN - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DOCUMENT_PROPERTIES - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DOCUMENT_SAVE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DocumentationUtil - Class in de.lmu.ifi.dbs.elki.utilities.documentation: Utilities for extracting documentation from class annotations.
DocumentationUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.documentation.DocumentationUtil
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() - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
DocumentParameters.SortByOption - Class in de.lmu.ifi.dbs.elki.application.internal: Sort parameters by their option
DocumentParameters.SortByOption() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption
DocumentReferences - Class in de.lmu.ifi.dbs.elki.application.internal: Build a reference documentation for all available parameters.
DocumentReferences() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
doDelete(DBID) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase: Removes the object with the specified id from this database.
doDetermineNextIntervalAtMaxLevel(Heap<IntegerPriorityObject<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
doExtraIntegrityChecks() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Perform additional integrity checks.
dofit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Which parameters to fit
doKNNQuery(DBID, KNNHeap<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Performs a k-nearest neighbor query for the given FeatureVector with the given parameter k and the according distance function.
doKNNQuery(O, KNNHeap<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery: Performs a k-nearest neighbor query for the given FeatureVector with the given parameter k and the according distance function.
doKNNQuery(O, KNNHeap<DoubleDistance>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery: Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
doKNNQuery(O, KNNHeap<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery: Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
DONT_CARE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier: Symbolic value for subspaces not in use.
doRangeQuery(DBID, AbstractMTreeNode<O, D, ?, ?>, DBID, D, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery: Performs a range query on the specified subtree.
doRangeQuery(DBID, AbstractMTreeNode<O, D, ?, ?>, O, D, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery: Performs a range query on the specified subtree.
doRangeQuery(O, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery: Perform the actual query process.
doRangeQuery(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery: Perform the actual query process.
doReverseKNNQuery(int, DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Performs a reverse knn query.
doReverseKNNQuery(int, DBID, List<DistanceResultPair<D>>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Performs a reverse knn query.
doReverseKNNQuery(DBID, 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 = AbstractMkTreeUnified.k_max.
doReverseKNNQuery(int, DBID, 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(Relation<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.
doRunInTime(KNNQuery<O, D>, KNNQuery<O, D>, StepProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF: Performs the Generalized LOF_SCORE algorithm on the given database and returns a LOF.LOFResult encapsulating information that may be needed by an OnlineLOF algorithm.
doSetParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Do the actual setParameters invocation.
doThumbnail(Thumbnailer) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread.Listener: Callback when to (re-)compute the thumbnail.
doThumbnail(Thumbnailer) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
DOTPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Dot size
dotTableModel - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow: The table model
DotVisualization<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: Generates a SVG-Element containing "dots" as markers representing the Database's objects.
DotVisualization(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DotVisualization: Constructor.
DotVisualization.Factory<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d: The visualization factory
DotVisualization.Factory() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DotVisualization.Factory: Constructor, adhering to Parameterizable
DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Double type, outlier scores etc.
DOUBLE_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Magic to identify double cache matrices
DOUBLE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance: Pattern for parsing and validating double values
DOUBLE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil: Static instance.
DOUBLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Storage required for a double value.
DOUBLE_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil: Input type for algorithms that require number vector fields.
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDoubleDistanceFunction: Computes the distance between the centroids of the two given MBRs according to this distance function.
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
doubleCenterDistance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction: Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction: Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction: Computes the squared Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction: Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction: Computes the squared Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction: Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction: Provides the Euclidean distance between the given two vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - 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.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction: Compute the Manhattan distance
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleDistance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDoubleDistanceFunction: Computes the distance between two given Objects according to this distance function.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction: Provides the squared Euclidean distance between the given two vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - 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.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction: Provides the Dynamic Time Warping distance between the given two vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - 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.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - 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.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: Provides the Longest Common Subsequence distance between the given two vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction: Provides the Weighted distance for feature vectors.
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedLPNormDistanceFunction
doubleDistance(NumberVector<?, ?>, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedSquaredEuclideanDistanceFunction: Provides the squared Euclidean distance between the given two vectors.
DoubleDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue: Provides a Distance for a double-valued distance.
DoubleDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance: Empty constructor for serialization purposes.
DoubleDistance(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance: Constructs a new DoubleDistance object that represents the double argument.
DoubleDistanceClusterOrderEntry - Class in de.lmu.ifi.dbs.elki.result.optics: Provides an entry in a cluster order.
DoubleDistanceClusterOrderEntry(DBID, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry: Creates a new entry in a cluster order with the specified parameters.
DoubleDistanceResultPair - Class in de.lmu.ifi.dbs.elki.database.query: Optimized DistanceResultPair that avoids/postpones an extra layer of boxing for double values.
DoubleDistanceResultPair(double, DBID) - Constructor for class de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair: Constructor.
DoubleDistanceRStarTreeKNNQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query: Instance of a KNN query for a particular spatial index.
DoubleDistanceRStarTreeKNNQuery(AbstractRStarTree<?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery: Constructor.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query: Optimized double distance entry implementation.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry(SpatialEntry, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry: Constructor.
DoubleDistanceRStarTreeRangeQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query: Instance of a range query for a particular spatial index.
DoubleDistanceRStarTreeRangeQuery(AbstractRStarTree<?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery: Constructor.
DoubleDistanceSearchCandidate - Class in de.lmu.ifi.dbs.elki.index.tree.query: Candidate for expansion in a distance search (generic implementation).
DoubleDistanceSearchCandidate(double, Integer) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate: Constructor.
DoubleDoubleHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: 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.ReplacingHistogram: 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.parameters: Parameter class for a parameter specifying a list of double values.
DoubleListParameter(OptionID, List<ParameterConstraint<List<Double>>>, List<Double>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleListParameter(OptionID, List<ParameterConstraint<List<Double>>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleListParameter(OptionID, ParameterConstraint<List<Double>>, List<Double>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleListParameter(OptionID, ParameterConstraint<List<Double>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleListParameter(OptionID, ParameterConstraint<List<Double>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID and optional flag.
DoubleListParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDoubleDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?, ?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
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.
DoubleObjPair<O> - Class in de.lmu.ifi.dbs.elki.utilities.pairs: Pair storing a native double value and an arbitrary object.
DoubleObjPair(double, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair: Constructor.
DoubleParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a double value.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraints, and default value.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraints, and optional flag.
DoubleParameter(OptionID, List<ParameterConstraint<Number>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, and parameter constraints.
DoubleParameter(OptionID, ParameterConstraint<Number>, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraint, and default value.
DoubleParameter(OptionID, ParameterConstraint<Number>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, parameter constraint, and optional flag.
DoubleParameter(OptionID, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID, and parameter constraint.
DoubleParameter(OptionID, Double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID and default value.
DoubleParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID and optional flag.
DoubleParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID.
DoubleSumDoubleSumHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram: Histograms that work like two AggregatingHistogram.DoubleSumHistogram(int, double, double), component wise.
DoubleSumDoubleSumHistogram(int) - Static method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram: Histograms that work like two FlexiHistogram.DoubleSumHistogram(int), component wise.
DoubleSumHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram: Convenience constructor for Double-based Histograms.
DoubleSumHistogram(int) - Static method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram: Convenience constructor for Double-based Histograms.
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(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns the value in the specified dimension as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector: Returns the value of the specified attribute.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector: Returns the value of the specified attribute.
doubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns the value in the specified dimension as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Returns the double value representation of this RationalNumber.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance: Get the value as double.
DoubleVector - Class in de.lmu.ifi.dbs.elki.data: A DoubleVector is to store real values approximately as double values.
DoubleVector(double[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Private constructor.
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(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Expects a matrix of one column.
DoubleVectorLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser: Provides a parser for parsing one point per line, attributes separated by whitespace.
DoubleVectorLabelParser(Pattern, char, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser: Constructor.
DoubleVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser: Constructor with default values.
DoubleVectorLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parameterization class.
DoubleVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser.Parameterizer
DoubleVectorLabelTransposingParser - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parser reads points transposed.
DoubleVectorLabelTransposingParser(Pattern, char, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelTransposingParser: Constructor.
DoubleVectorLabelTransposingParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser: Parameterization class.
DoubleVectorLabelTransposingParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelTransposingParser.Parameterizer
DoubleVectorProjectionFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
DoubleVectorProjectionFilter(BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorProjectionFilter: Constructor.
DoubleVectorProjectionFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parameterization class.
DoubleVectorProjectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorProjectionFilter.Parameterizer
DoubleVectorRandomProjectionFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
DoubleVectorRandomProjectionFilter(int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorRandomProjectionFilter: Constructor.
DoubleVectorRandomProjectionFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter: Parameterization class.
DoubleVectorRandomProjectionFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorRandomProjectionFilter.Parameterizer
downsample(T, T) - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram.Adapter: Rule to combine two bins into one.
downsampler - Variable in class de.lmu.ifi.dbs.elki.math.FlexiHistogram: Adapter class, extended "maker".
DragableArea - Class in de.lmu.ifi.dbs.elki.visualization.batikutil: A simple dragable area for Batik.
DragableArea(SVGPlot, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea.DragListener - Interface in de.lmu.ifi.dbs.elki.visualization.batikutil: Listener interface for drag events.
drawArc(SVGPath, Vector, Vector, Vector, Vector, Vector, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization: Draw an arc to simulate the hyper ellipse.
drawAxis(SVGPlot, Element, LinearScale, double, double, double, double, boolean, boolean, StyleLibrary) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis: Plot an axis with appropriate scales
drawClusters(List<Cluster<OPTICSModel>>, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization: Recursively draw clusters
drawCross(SVGPlot, Projection2D, V, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere: Wireframe "cross" hypersphere
drawEuclidean(SVGPlot, Projection2D, V, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere: Wireframe "euclidean" hypersphere
drawFilled(SVGPlot, String, Projection2D, Vector, Vector) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Filled hypercube.
drawFilled(SVGPlot, String, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Filled hypercube.
drawFrame(SVGPlot, Projection2D, Vector, Vector) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Wireframe hypercube.
drawFrame(SVGPlot, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube: Wireframe hypercube.
drawHullArc(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization
drawHullLines(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization
drawLp(SVGPlot, Projection2D, V, D, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere: Wireframe "Lp" hypersphere
drawManhattan(SVGPlot, Projection2D, V, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere: Wireframe "manhattan" hypersphere
drawSphere2D(int, Vector, Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization
drawStyle - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.EMClusterVisualization
drawTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line given a series of coordinates.
drawTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Draw a line given a series of coordinates.
dropdownEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor: The dropdown editor
dstColorModel - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext: Destination color model
DTWDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Provides the Dynamic Time Warping distance for FeatureVectors.
DTWDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction: Constructor.
DTWDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Parameterization class.
DTWDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction.Parameterizer
DummyAlgorithm<O extends NumberVector<?,?>> - 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: Constructor, adhering to Parameterizable
dumpDebugFile() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Dump the SVG plot to a debug file.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea.DragListener: Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea: Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.MoveObjectsToolVisualization
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolCubeVisualization
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.SelectionToolDotVisualization
dynamicids - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory: Keep track of the smallest dynamic DBID offset not used
DynamicParameters - Class in de.lmu.ifi.dbs.elki.gui.util: Wrapper around a set of parameters for ELKI, that may not yet be complete or correct.
DynamicParameters() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters: Constructor
DynamicParameters.Node - Class in de.lmu.ifi.dbs.elki.gui.util: Node in the option tree (well, actually list)
DynamicParameters.Node(Parameter<?, ?>, String, BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node: Constructor.
DynamicParameters.RemainingOptions - Class in de.lmu.ifi.dbs.elki.gui.util: Dummy option class that represents unhandled options
DynamicParameters.RemainingOptions() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.RemainingOptions: Constructor.
dynamicSerializer - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID: The public instance to use for dynamic serialization.
dynamicStart - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory: Keep track of the lowest unused dynamic DBID
dynamicUsed - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory: Bit set to keep track of dynamic DBIDs

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Release 0.4.0 (2011-09-20_1324)

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