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

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E nvironment for
Deve L oping
K DD-Applications
Supported by I ndex-Structures

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D

d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Holds the value of AbstractDBOutlier.D_PARAM.
d - Static variable in class de.lmu.ifi.dbs.elki.math.ErrorFunctions
d - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition: Arrays for internal storage of eigenvalues.
D_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: OptionID for AbstractDBOutlier.D_PARAM
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.
D_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Parameter to specify the size of the D-neighborhood, Key: -dbod.d
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.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.algorithm.clustering.correlation.CASH: The database holding the objects.
database - Variable in class de.lmu.ifi.dbs.elki.data.model.Bicluster: The database this bicluster is defined for.
database - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Holds the instance of the database specified by AbstractDatabaseConnection.DATABASE_PARAM.
Database<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.database: Database specifies the requirements for any database implementation.
database - Variable in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction: The database that holds the objects for which the measurements should be computed.
database - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreprocessorHandler: The database to run the preprocessor on.
database - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromDatabase: database storage
database - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext: The database
DATABASE_CONNECTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for KDDTask.DATABASE_CONNECTION_PARAM
DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Parameter to specify the database connection to be used, must extend DatabaseConnection.
DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Parameter to specify the database connection to be used, must extend DatabaseConnection.
DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Parameter to specify the database connection to be used, must extend DatabaseConnection.
DATABASE_CONNECTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.KDDTask: Parameter to specify the database connection to be used, must extend DatabaseConnection.
DATABASE_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.ExceptionMessages: Messages in case a database is unexpectedly empty.
DATABASE_ID - Static variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: OptionID for AbstractDatabaseConnection.DATABASE_PARAM
DATABASE_PARAM - Variable in class de.lmu.ifi.dbs.elki.database.connection.AbstractDatabaseConnection: Parameter to specify the database to be provided by the parse method, must extend Database.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Holds the database connection to have the algorithm run with.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Holds the database connection to have the algorithm run with.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Holds the database connection to have the algorithm run with.
DatabaseConnection<O extends DatabaseObject> - Interface in de.lmu.ifi.dbs.elki.database.connection: DatabaseConnection is to provide a database.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.KDDTask: Holds the database connection to have the algorithm run with.
DatabaseEvent - Class in de.lmu.ifi.dbs.elki.database: Encapsulates information describing changes, i.e. updates, insertions, or deletions to a database, and used to notify database listeners of the change.
DatabaseEvent(Database<? extends DatabaseObject>, List<Integer>) - Constructor for class de.lmu.ifi.dbs.elki.database.DatabaseEvent: Used to create an event when database objects have been updated, inserted, or removed.
DatabaseListener - Interface in de.lmu.ifi.dbs.elki.database: Defines the interface for an object that listens to changes in a Database.
DatabaseObject - Interface in de.lmu.ifi.dbs.elki.data: A DatabaseObject should provide handling of a database ID.
DatabaseObjectGroup - Interface in de.lmu.ifi.dbs.elki.data: Interface for a collection of database references (IDs).
DatabaseObjectGroupArray - Class in de.lmu.ifi.dbs.elki.data: Array backed DatabaseObjectGroup.
DatabaseObjectGroupArray(Integer[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupArray: Constructor.
DatabaseObjectGroupCollection<C extends Collection<Integer>> - Class in de.lmu.ifi.dbs.elki.data: Collection-backed group of database object (references)
DatabaseObjectGroupCollection(C) - Constructor for class de.lmu.ifi.dbs.elki.data.DatabaseObjectGroupCollection: Constructor to wrap an existing collection.
DatabaseUtil - Class in de.lmu.ifi.dbs.elki.utilities: Class with Database-related utility functions such as centroid computation, covariances etc.
DatabaseUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
dataDotVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.ClusteringAdapter: Visualizer to do data dots (e.g. for outlier visualization)
DataDotVisualizer<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.
DataDotVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DataDotVisualizer: Constructor, adhering to Parameterizable
dataProjections(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the data vectors after projection.
dataVector(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the data vectors after projection.
dataVectors(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the data vectors after projection.
db - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
db - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromAssociation: Database
db - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.FullDatabaseReferencePoints.DatabaseProxy: The database we query
db - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Database we work on.
dbgStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Debug message style
DBOD_SCORE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier: Association ID for DBOD.
DBOutlierDetection<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier: Simple distanced based outlier detection algorithm.
DBOutlierDetection(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection: Constructor, adhering to Parameterizable
DBOutlierScore<O extends DatabaseObject,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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore: Constructor, adhering to Parameterizable
DBSCAN<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: DBSCAN provides the DBSCAN algorithm, an algorithm to find density-connected sets in a database.
DBSCAN(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Constructor, adhering to Parameterizable
de.lmu.ifi.dbs.elki - package de.lmu.ifi.dbs.elki: ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
de.lmu.ifi.dbs.elki.algorithm - package de.lmu.ifi.dbs.elki.algorithm: Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering - package de.lmu.ifi.dbs.elki.algorithm.clustering: Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation: Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash: Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique: Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.algorithm.outlier - package de.lmu.ifi.dbs.elki.algorithm.outlier: Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.statistics - package de.lmu.ifi.dbs.elki.algorithm.statistics: Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.application - package de.lmu.ifi.dbs.elki.application: Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.application.cache - package de.lmu.ifi.dbs.elki.application.cache: Utility applications for the persistence layer such as distance cache builders.
de.lmu.ifi.dbs.elki.application.internal - package de.lmu.ifi.dbs.elki.application.internal: Internal utilities for development.
de.lmu.ifi.dbs.elki.application.visualization - package de.lmu.ifi.dbs.elki.application.visualization: Visualization applications in ELKI.
de.lmu.ifi.dbs.elki.data - package de.lmu.ifi.dbs.elki.data: Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.cluster - package de.lmu.ifi.dbs.elki.data.cluster: Cluster classes.
de.lmu.ifi.dbs.elki.data.cluster.naming - package de.lmu.ifi.dbs.elki.data.cluster.naming: Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
de.lmu.ifi.dbs.elki.data.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.synthetic - package de.lmu.ifi.dbs.elki.data.synthetic: Generators for synthetic data sets
de.lmu.ifi.dbs.elki.data.synthetic.bymodel - package de.lmu.ifi.dbs.elki.data.synthetic.bymodel: Generator using a distribution model specified in an XML configuration file.
de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution - package de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution: Data generators used by the model-based generator.
de.lmu.ifi.dbs.elki.database - package de.lmu.ifi.dbs.elki.database: ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.connection - package de.lmu.ifi.dbs.elki.database.connection: Database connections are classes implementing data sources.
de.lmu.ifi.dbs.elki.distance - package de.lmu.ifi.dbs.elki.distance: Distances and (in subpackages) distance functions and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction - package de.lmu.ifi.dbs.elki.distance.distancefunction: Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter - package de.lmu.ifi.dbs.elki.distance.distancefunction.adapter: Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.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.subspace - package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries - package de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Distance functions designed for time series.
de.lmu.ifi.dbs.elki.distance.similarityfunction - package de.lmu.ifi.dbs.elki.distance.similarityfunction: Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel - package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel: Kernel functions.
de.lmu.ifi.dbs.elki.evaluation - package de.lmu.ifi.dbs.elki.evaluation: Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.evaluation.histogram - package de.lmu.ifi.dbs.elki.evaluation.histogram: Functionality for the evaluation of algorithms using histograms.
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.gui - package de.lmu.ifi.dbs.elki.gui: Graphical User Interfaces for ELKI
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.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.tree - package de.lmu.ifi.dbs.elki.index.tree: Tree-based index structures
de.lmu.ifi.dbs.elki.index.tree.metrical - package de.lmu.ifi.dbs.elki.index.tree.metrical: Tree-based index structures for metrical vector spaces.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants: M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees: Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree: MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split: Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util: Helper classes for the the M-Tree and it's variants.
de.lmu.ifi.dbs.elki.index.tree.spatial - package de.lmu.ifi.dbs.elki.index.tree.spatial: Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants: R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn: RdKNNTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar: RStarTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util: Utilities for R*-Tree and variants.
de.lmu.ifi.dbs.elki.logging - package de.lmu.ifi.dbs.elki.logging: Logging facility for controlling logging behavior of the complete framework.
de.lmu.ifi.dbs.elki.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.normalization - package de.lmu.ifi.dbs.elki.normalization: Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.parser - package de.lmu.ifi.dbs.elki.parser: Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.parser.meta - package de.lmu.ifi.dbs.elki.parser.meta: MetaParsers for different file formats and data types.
de.lmu.ifi.dbs.elki.persistent - package de.lmu.ifi.dbs.elki.persistent: Persistent data management.
de.lmu.ifi.dbs.elki.preprocessing - package de.lmu.ifi.dbs.elki.preprocessing: Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.
de.lmu.ifi.dbs.elki.properties - package de.lmu.ifi.dbs.elki.properties: Property handling and main ELKI properties file.
de.lmu.ifi.dbs.elki.result - package de.lmu.ifi.dbs.elki.result: Result types, representation and handling
de.lmu.ifi.dbs.elki.result.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.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.documentation - package de.lmu.ifi.dbs.elki.utilities.documentation: Documentation utilities: Annotations for Title, Description, Reference
de.lmu.ifi.dbs.elki.utilities.heap - package de.lmu.ifi.dbs.elki.utilities.heap: Variants of heap structures.
de.lmu.ifi.dbs.elki.utilities.optionhandling - package de.lmu.ifi.dbs.elki.utilities.optionhandling: Parameter handling and option descriptions.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints - package de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Constraints allow to restrict possible values for parameters.
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization - package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: Configruation managers
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.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.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.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.adapter - package de.lmu.ifi.dbs.elki.visualization.visualizers.adapter: Adapters to map results to visualizers.
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.
Deap<K extends Comparable<K> & Serializable,V extends Identifiable & Serializable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: Subclass of a MinMaxHeap that can be an entry in a persistent heap.
Deap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Empty constructor for serialization purposes.
Deap(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Creates a new Deap with the specified parameters.
debug - Variable in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Holds the class specific debug status.
debug(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debug(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration: General debug flag.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: OptionID for AbstractApplication.DEBUG_PARAM
DEBUG_PARAM - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication: 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.
debugExtraCheckWrites - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Debug flag, to double-check all write operations.
debugExtraCheckWrites - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Debug flag, to double-check all write operations.
debugFine(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINE message.
debugFine(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFine(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFiner(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINER message.
debugFiner(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFiner(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFinest(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable: Log a DEBUG_FINEST message.
debugFinest(String, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finest' debugging level.
debugFinest(String) - Method in class de.lmu.ifi.dbs.elki.logging.Logging: Log a message at the 'finest' debugging level.
debugformat - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Formatter for debugging messages
debugformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Formatter for debugging messages
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_PARAM.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter: The default value for alpha.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor: The default value for alpha.
DEFAULT_BINS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d.Projection1DHistogramVisualizer: 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.math.linearalgebra.pca.LimitEigenPairFilter: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: The default value for delta.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The default distance function.
DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: The default range query distance function.
DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: The default value for epsilon.
DEFAULT_IGNORES - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil: Default package ignores.
DEFAULT_KERNEL_FUNCTION_CLASS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction: The default kernel function.
DEFAULT_MAX_DEGREE - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: The default max_degree.
DEFAULT_NORMALIZATION - Static variable in class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization: Default normalization.
DEFAULT_PALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter: The default value for alpha.
DEFAULT_PCA_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.LocalPCAPreprocessor: The default distance function for the PCA.
DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.PrettyMarkers: Default prefix to use.
DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.Thumbnailer: Default prefix
DEFAULT_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.preprocessing.DiSHPreprocessor: Default strategy.
DEFAULT_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer: Default threshold for resizing.
DEFAULT_TITLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.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.
DefaultAdapter<NV extends NumberVector<NV,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.adapter: Class to add various default visualizations.
DefaultAdapter(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.DefaultAdapter: Constructor, adhering to Parameterizable
DefaultHeap<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: Implementation of a heap-based priority queue.
DefaultHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Creates a new heap that stores the elements in ascending order.
DefaultHeap(boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Creates a new heap that stores the elements in the specified order.
DefaultHeapNode<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: A default implementation of an object that can be stored in a heap.
DefaultHeapNode() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode: Empty constructor for serialization purposes.
DefaultHeapNode(K, V) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeapNode: Creates a new heap node with the specified parameters.
DefaultIdentifiable - Class in de.lmu.ifi.dbs.elki.utilities.heap: Default implementation of the identifiable interface.
DefaultIdentifiable() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable: Empty constructor for serialization purposes.
DefaultIdentifiable(Integer) - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.DefaultIdentifiable: Creates a new Identifiable object.
DefaultPageHeader - Class in de.lmu.ifi.dbs.elki.persistent: Default implementation of a page header.
DefaultPageHeader() - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Empty constructor for serialization.
DefaultPageHeader(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader: Creates a new header with the specified parameters.
defaultStream - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Default stream to write to when no name is supplied.
defaultValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: The default value of the parameter (may be null).
DefaultValueGlobalConstraint<T extends Comparable<T>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Global parameter constraint for specifying the default value of a parameter dependent on the parameter value of another parameter.
DefaultValueGlobalConstraint(Parameter<? super T, T>, Parameter<? super T, T>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DefaultValueGlobalConstraint: Creates a global parameter constraint for specifying the default value of a parameter dependent on the value of an another parameter.
defaultValueTaken - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.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.
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: Degree of the polynomial kernel function
DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction: OptionID for PolynomialKernelFunction.DEGREE_PARAM
DEGREE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
delete(O) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
delete(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
delete(O) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Removes all objects from the database that are equal to the given object.
delete(Integer) - Method in interface de.lmu.ifi.dbs.elki.database.Database: Removes and returns the object with the given id from the database.
delete(Integer) - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase: Calls the super method and afterwards deletes the specified object from the underlying index structure.
delete(O) - Method in class de.lmu.ifi.dbs.elki.database.IndexDatabase: Calls the super method and afterwards deletes the specified object from the underlying index structure.
delete(O) - Method in interface de.lmu.ifi.dbs.elki.index.Index: Deletes the specified object from this index.
delete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Deletes the specified object from this index.
deleteAllEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Deletes all entries in this node.
deleteAssociations(Integer) - Method in class de.lmu.ifi.dbs.elki.database.AbstractDatabase: Deletes associations for the given id if there are any.
deleteEntry(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode: Deletes the entry at the specified index and shifts all entries after the index to left.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile: Deletes the node with the specified id from this file.
DeLiClu<O extends NumberVector<O,?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: DeLiClu provides the DeLiClu algorithm, a hierarchical algorithm to find density-connected sets in a database.
DeLiClu(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Constructor, adhering to Parameterizable
DeLiClu.SpatialObjectPair - Class in de.lmu.ifi.dbs.elki.algorithm.clustering: Encapsulates an entry in the cluster order.
DeLiClu.SpatialObjectPair(SpatialEntry, SpatialEntry, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair: Creates a new entry with the specified parameters.
DeLiCluDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a directory entry in an DeLiClu-Tree node.
DeLiCluDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Empty constructor for serialization purposes.
DeLiCluDirectoryEntry(int, HyperBoundingBox, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Constructs a new DeLiCluDirectoryEntry object with the given parameters.
DeLiCluEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for an entry in an DeLiClu-Tree node.
DeLiCluLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a leaf entry in an DeLiClu-Tree node.
DeLiCluLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Empty constructor for serialization purposes.
DeLiCluLeafEntry(int, double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Constructs a new LeafEntry object with the given parameters.
DeLiCluNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: Represents a node in a DeLiClu-Tree.
DeLiCluNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Empty constructor for Externalizable interface.
DeLiCluNode(PageFile<DeLiCluNode>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Creates a new DeLiCluNode with the specified parameters.
DeLiCluTree<O extends NumberVector<O,?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu: DeLiCluTree is a spatial index structure based on an R-TRee.
DeLiCluTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Constructor, adhering to Parameterizable
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Holds the value of EM.DELTA_PARAM.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: Holds the value of ERiCDistanceFunction.DELTA_PARAM.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Holds the value of PCABasedCorrelationDistanceFunction.DELTA_PARAM.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: Keeps the currently set delta.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale: Scale delta := max - min
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: OptionID for HiCO.DELTA_PARAM.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: OptionID for EM.DELTA_PARAM
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: OptionID for ERiCDistanceFunction.DELTA_PARAM
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: OptionID for PCABasedCorrelationDistanceFunction.DELTA_PARAM
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: OptionID for EDRDistanceFunction.DELTA_PARAM
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: OptionID for PreDeConPreprocessor.DELTA_PARAM
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.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_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all stroneg eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction: Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: DELTA parameter
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter: Parameter delta
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.FourCPreprocessor: Option string for parameter delta.
DELTA_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.PreDeConPreprocessor: Parameter for Delta
deltaparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
denominator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber: Holding the denominator of the RationalNumber.
denormalizeValue(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance: Return the unnormalized value (centered at the mean, distance normalized by standard deviation)
dens - Variable in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator: Result storage: density
denseUnits - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: The dense units belonging to this subspace.
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: OptionID for DependencyDerivator.RANDOM_SAMPLE_FLAG
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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator: Constructor, adhering to Parameterizable
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(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
descend(Parameter<?, ?>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters: Descend parameterization tree into sub-option.
descend(Parameter<?, ?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization: Descend parameterization tree into sub-option.
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 - Variable in class de.lmu.ifi.dbs.elki.properties.PropertyDescription: Description of property.
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: OptionID for AbstractApplication.DESCRIPTION_PARAM
description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID: The description of the OptionID.
DESCRIPTION_PARAM - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication: Optional Parameter to specify a class to obtain a description for.
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.
determineAlphaMax(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the n-th alpha value where this function has a maximum in the specified interval.
determineAlphaMin(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the n-th alpha value where this function has a minimum in the specified interval.
determineAlphaMinMax(HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.data.ParameterizationFunction: Determines the alpha values where this function has a minumum and maximum value in the given interval.
determineBasis(double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines a basis defining a subspace described by the specified alpha values.
determineClusters(Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace: Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.
determineClusters(Database<V>, 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 od the global extremum.
determineIDs(Set<Integer>, HyperBoundingBox, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Determines the ids belonging to the given interval, i.e. 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.
determineMeanVariance(V[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Determines the mean and standard deviations in each dimension of the given featureVectors.
determineMeanVariance(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Determines the means and standard deviations in each dimension of the given featureVectors.
determineMinMax(V[]) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Determines the minima and maxima values in each dimension of the given featureVectors.
determineMinMax(List<Pair<V, Associations>>) - Method in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Determines the minima and maxima values in each dimension of the given featureVectors.
determineMinMaxDistance(Database<ParameterizationFunction>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines the minimum and maximum function value of all parameterization functions stored in the specified database.
determineNextIntervalAtMaxLevel(DefaultHeap<Integer, CASHInterval>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Determines the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects.
determinePreferenceVector(Database<V>, Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(Database<V>, Integer, List<Integer>, StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.HiSCPreprocessor: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(Database<V>, Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(Set<Integer>[], StringBuffer) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Determines the preference vector with the max intersection strategy.
dfs(CLIQUEUnit<V>, Set<Integer>, 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.
DIGITS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipVisualizer: OptionID for TooltipVisualizer.DIGITS_PARAM.
DIGITS_PARAM - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.TooltipVisualizer: Parameter for the gamma-correction.
dim - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
dim - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: The dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction: Stores the (full = multiplied) dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction: Stores the (full = to the power of three) dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: The dimension to be considered for distance computation.
dim - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation: the dimensionality of the transformation
dim - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationProjection: Database dimensionality
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: OptionID for DimensionSelectingDistanceFunction.DIM_PARAM
DIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Parameter for dimensionality.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.Interval: The dimension of this interval in the (original) data space.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.model.DimensionModel: Number of dimensions
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.BitVector: Dimensionality of this bit vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: The dimensionality of this feature vector.
dimensionality - 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.database.AbstractDatabase
dimensionality() - Method in interface de.lmu.ifi.dbs.elki.database.Database: Returns the dimensionality of the data contained by this database in case of O extends FeatureVector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance: The dimensionality of the feature space (needed for serialization).
dimensionality - Variable in class de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser: Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.
dimensionInfo() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Returns the dimensionality of this matrix as a string.
DimensionModel - Class in de.lmu.ifi.dbs.elki.data.model: Cluster model just providing a cluster dimensionality.
DimensionModel(Integer) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DimensionModel: Constructor
dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster: The correlated dimensions of this cluster.
dimensions - Variable in class de.lmu.ifi.dbs.elki.data.Subspace: The dimensions building this subspace.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction: The dimensions to be considered for distance computation.
DimensionSelectingDistanceFunction<V extends NumberVector<V,?>> - 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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Constructor, adhering to Parameterizable
DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
DimensionsSelectingEuclideanDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction: Constructor, adhering to Parameterizable
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.
DIMS_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction: OptionID for AbstractDimensionsSelectingDoubleDistanceFunction.DIMS_PARAM
DIMS_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction: Dimensions parameter.
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndex: The minimum number of entries in a directory node.
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader: The minimum number of entries in a directory node.
dirty - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPage: The dirty flag of this page.
dirty - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: The dirty flag of this page.
disableInteractions - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Flag whether Batik interactions should be disabled.
discarded - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster: Discarded count
DiscardResultHandler<O extends DatabaseObject,R extends Result> - Class in de.lmu.ifi.dbs.elki.result: A dummy result handler that discards the actual result, for use in benchmarks.
DiscardResultHandler() - Constructor for class de.lmu.ifi.dbs.elki.result.DiscardResultHandler: Default constructor.
DiSH<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace: Algorithm for detecting subspace hierarchies.
DiSH(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Constructor, adhering to Parameterizable
DiSHDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace: Distance function used in the DiSH algorithm.
DiSHDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction: Constructor.
DiSHPreprocessor<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.preprocessing: Preprocessor for DiSH preference vector assignment to objects of a certain database.
DiSHPreprocessor(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Constructor, adhering to Parameterizable
DiSHPreprocessor.Strategy - Enum in de.lmu.ifi.dbs.elki.preprocessing: Available strategies for determination of the preference vector.
DiSHPreprocessor.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor.Strategy
DiskCacheBasedDoubleDistanceFunction<V extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
DiskCacheBasedDoubleDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Constructor, adhering to Parameterizable
DiskCacheBasedFloatDistanceFunction<V extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external: Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.
DiskCacheBasedFloatDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Constructor, adhering to Parameterizable
dispose() - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
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
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
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Distance function that is to be cached.
distance(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the distance of NumberVector p from the hyperplane underlying this solution.
distance(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution: Returns the distance of Matrix p from the hyperplane underlying this solution.
Distance<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance: The interface Distance defines the requirements of any instance class.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction: Returns the distance between the two object specified by their object ids.
distance(Integer, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterAbstract: Distance implementation
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterArccos: Distance implementation
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLinear: Distance implementation
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLn: Distance implementation
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction: Computes the cosine distance for two given feature vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction: Provides the Correlation distance between the given two vectors by calling correlationDistance(v1, v2).
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction: Computes the Pearson correlation distance for two given feature vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction: Computes the squared Pearson correlation distance for two given feature vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction: Computes the cosine distance for two given feature vectors.
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, Integer) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Returns the distance between the two objects specified by their object ids.
distance(Integer, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction: Returns the distance between the two specified objects.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction: Provides the Euclidean distance between the given two vectors.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Returns the distance between the two objects specified by their objects ids.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Returns the distance between the two objects specified by their objects ids.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Returns the distance between the two objects specified by their objects ids.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(Integer, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Returns the distance between the two objects specified by their objects ids.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.KernelBasedLocallyWeightedDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction: Computes the distance between two given real vectors according to this distance function.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction: Returns the distance between the specified FeatureVectors as a LP-Norm for the currently set p.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction: Provides the Euclidean distance between two given feature vectors in the selected dimensions.
distance(HyperBoundingBox, HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction: Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction: Computes the distance between two given DatabaseObjects according to this distance function.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction: Provides the Dynamic Time Warping distance between the given two vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction: Provides the Edit Distance on Real Sequence distance between the given two vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction: Provides the Edit Distance With Real Penalty distance between the given two vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction: Provides the Longest Common Subsequence distance between the given two vectors.
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction: Provides the Weighted distance for feature vectors.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper: Returns the distance between the two specified objects.
distance(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.ArbitraryKernelFunctionWrapper: Returns the distance between the two objects specified by their object ids.
distance(O, O) - 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(O, O) - 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(Integer, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the two specified ids.
distance(HyperBoundingBox, HyperBoundingBox) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction: Computes the distance between the two given MBRs according to this distance function.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: OptionID for SUBCLU.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: OptionID for DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: OptionID for KNNExplorer.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: OptionID for AbstractMTree.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: OptionID for RdKNNTree.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: OptionID for NumberDistanceParser.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: OptionID for MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: OptionID for SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: The distance function to determine the distance between database objects.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Parameter for distance function
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: Parameter for distance function.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: Parameter distance function
DISTANCE_FUNCTION_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: OptionID for CacheDoubleDistanceInOnDiskMatrix.DISTANCE_PARAM
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: OptionID for CacheFloatDistanceInOnDiskMatrix.DISTANCE_PARAM
DISTANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_PARAM - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Parameter that specifies the name of the directory to be re-parsed.
distanceAdapter - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot: The mapping from cluster order entry to value
DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>,R extends Result> - Class in de.lmu.ifi.dbs.elki.algorithm: Provides an abstract algorithm already setting the distance function.
DistanceBasedAlgorithm(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Constructor, adhering to Parameterizable
distancecache - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
distanceCache - Variable in class de.lmu.ifi.dbs.elki.parser.DistanceParsingResult: The cache of precomputed distances between the database objects.
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.
distanceFactory - Variable in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction: The distance type
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: Holds the instance of the distance function specified by ProjectedDBSCAN.INNER_DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering: The euclidean distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm: Holds the instance of the distance function specified by DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow: Holds the instance of the distance function specified by KNNExplorer.DISTANCE_FUNCTION_PARAM.
DistanceFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction: Interface DistanceFunction describes the requirements of any distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Holds the instance of the distance function specified by AbstractMTree.DISTANCE_FUNCTION_PARAM.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.parser.NumberDistanceParser: The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.preprocessing.SharedNearestNeighborsPreprocessor: Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DistanceFunctionPatternConstraint: Deprecated. The distance function the pattern is checked for.
DistanceFunctionPatternConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints: Deprecated.
DistanceFunctionPatternConstraint(DistanceFunction<?, ?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.DistanceFunctionPatternConstraint: Deprecated. Constructs a distance function pattern constraint for testing if a given pattern parameter holds a valid pattern for the parameter distFunction
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, 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, 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, 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, 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.
DistanceParser<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.parser: A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
DistanceParsingResult<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.parser: Provides a list of database objects and labels associated with these objects and a cache of precomputed distances between the database objects.
DistanceParsingResult(List<Pair<O, List<String>>>, Map<Pair<Integer, Integer>, D>) - Constructor for class de.lmu.ifi.dbs.elki.parser.DistanceParsingResult: Provides a list of database objects, a list of label objects associated with these objects and cached distances between these objects.
DistanceResultPair<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database: Class that consists of a pair (distance, object ID) commonly returned for kNN and range queries.
DistanceResultPair(D, Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.DistanceResultPair: Canonical constructor
DistanceStatisticsWithClasses<V extends DatabaseObject,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(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses: Constructor, adhering to Parameterizable
distancesToList() - Method in class de.lmu.ifi.dbs.elki.data.KNNList: Return a list containing just the distances
DistanceUtil - Class in de.lmu.ifi.dbs.elki.distance: Class with distance related utility functions.
DistanceUtil() - Constructor for class de.lmu.ifi.dbs.elki.distance.DistanceUtil
Distribution - Interface in de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution: Interface for a simple distribution generator with a PDF, i.e. it can also compute a density
divided(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic: Divides this number by the given number.
divided(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
document - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: SVG document we plot to.
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
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
doDetermineNextIntervalAtMaxLevel(DefaultHeap<Integer, CASHInterval>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Recursive helper method to determine the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects
dofit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Which parameters to fit
doKNNQuery(Integer, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Performs a k-nearest neighbor query for the given FeatureVector with the given parameter k and the according distance function.
doKNNQuery(Object, SpatialDistanceFunction<O, D>, KNNList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
doRangeQuery(Integer, N, Integer, D, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree: Performs a range query on the specified subtree.
doReverseKNN(RdKNNNode<D, N>, O, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs a reverse knn query in the specified subtree.
doReverseKNNQuery(int, Integer) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Performs a reverse knn query.
doReverseKNNQuery(int, Integer, List<DistanceResultPair<D>>, List<Integer>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Performs a reverse knn query.
doReverseKNNQuery(Integer, MkMaxTreeNode<O, D>, MkMaxEntry<D>, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Performs a reverse k-nearest neighbor query in the specified subtree for the given query object with k = AbstractMkTree.k_max.
doReverseKNNQuery(int, Integer, MkTabEntry<D>, MkTabTreeNode<O, D>, List<DistanceResultPair<D>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Performs a k-nearest neighbor query in the specified subtree for the given query object and the given parameter k.
doRun(Database<ParameterizationFunction>, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.
doSetParameters(ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Do the actual setParameters invocation.
DOTPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Dot size
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.AbstractDistance: Pattern for parsing and validating double values
DOUBLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Storage required for a double value.
DoubleDistance - Class in de.lmu.ifi.dbs.elki.distance: Provides a Distance for a double-valued distance.
DoubleDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.DoubleDistance: Empty constructor for serialization purposes.
DoubleDistance(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.DoubleDistance: Constructs a new DoubleDistance object that represents the double argument.
DoubleDoubleHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.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.
DoubleMinMax - Class in de.lmu.ifi.dbs.elki.math: Class to find the minimum and maximum double values in data.
DoubleMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Constructor without starting values.
DoubleMinMax(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax: Constructor with predefined minimum and maximum values.
DoubleParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.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 interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns the value in the specified dimension as double.
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.BitDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.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(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector: Expects a matrix of one column.
DoubleVectorLabelParser - Class in de.lmu.ifi.dbs.elki.parser: Provides a parser for parsing one point per line, attributes separated by whitespace.
DoubleVectorLabelParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelParser: Constructor, adhering to Parameterizable
DoubleVectorLabelTransposingParser - Class in de.lmu.ifi.dbs.elki.parser: Parser reads points transposed.
DoubleVectorLabelTransposingParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.DoubleVectorLabelTransposingParser: Constructor, adhering to Parameterizable
DoubleVectorProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta: Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
DoubleVectorProjectionParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.DoubleVectorProjectionParser: Constructor.
DoubleVectorRandomProjectionParser - Class in de.lmu.ifi.dbs.elki.parser.meta: Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
DoubleVectorRandomProjectionParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.DoubleVectorRandomProjectionParser: Constructor.
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".
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
drawTo(double, double) - 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<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries: Provides the Dynamic Time Warping distance for FeatureVectors.
DTWDistanceFunction(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction: Constructor, adhering to Parameterizable
DummyAlgorithm<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.algorithm: Dummy Algorithm, which just iterates over all points once, doing a 10NN query each.
DummyAlgorithm(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm: Constructor, adhering to Parameterizable
DummyNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization: Dummy normalization that does nothing.
DummyNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.DummyNormalization
dumpDebugFile() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot: Dump the SVG plot to a debug file.
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.