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

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All Classes All Packages

D

d - Variable in class elki.data.VectorUtil.SortDBIDsBySingleDimension: Dimension to sort with.
d - Variable in class elki.data.VectorUtil.SortVectorsBySingleDimension: Dimension to sort with.
d - Variable in class elki.math.linearalgebra.EigenvalueDecomposition: Arrays for internal storage of eigenvalues.
d - Variable in class elki.outlier.distance.AbstractDBOutlier: Radius parameter d.
d - Variable in class elki.outlier.distance.AbstractDBOutlier.Par: Query radius
d - Variable in class elki.outlier.distance.HilOut: Set sizes, total and current iteration
D_ID - Static variable in class elki.outlier.distance.AbstractDBOutlier.Par: Parameter to specify the size of the D-neighborhood
D_ID - Static variable in class elki.outlier.subspace.OUTRES.Par: Option ID for Epsilon parameter
d_max - Variable in class elki.clustering.correlation.cash.CASHInterval: The maximum distance value.
d_min - Variable in class elki.clustering.correlation.cash.CASHInterval: The minimum distance value.
d_zero - Variable in class elki.clustering.subspace.FastDOC: Holds the value of FastDOC.Par.D_ZERO_ID.
d_zero - Variable in class elki.clustering.subspace.FastDOC.Par: Stopping threshold for FastDOC.
D_ZERO_ID - Static variable in class elki.clustering.subspace.FastDOC.Par: Stopping threshold for FastDOC.
d1 - Variable in class elki.clustering.silhouette.FastMSC.Record: Distance to nearest medoid
D1 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
D1 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator: Estimation constants
d2 - Variable in class elki.clustering.silhouette.FastMSC.Record: Distance to second nearest medoid
D2 - Static variable in class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
D2 - Static variable in class elki.math.statistics.distribution.estimator.WeibullLMMEstimator: Estimation constants
d3 - Variable in class elki.clustering.silhouette.FastMSC.Record: Distance to third nearest medoid
DAFile - Class in elki.index.vafile: Dimension approximation file, a one-dimensional part of the PartialVAFile.
DAFile(Relation<? extends NumberVector>, int, int) - Constructor for class elki.index.vafile.DAFile: Constructor.
daFiles - Variable in class elki.index.vafile.PartialVAFile: Partial VA files.
DashedLineStyleLibrary - Class in elki.visualization.style.lines: Line library using various dashed and dotted line styles.
DashedLineStyleLibrary(StyleLibrary) - Constructor for class elki.visualization.style.lines.DashedLineStyleLibrary: Constructor
dashpatterns - Variable in class elki.visualization.style.lines.DashedLineStyleLibrary: Dash patterns to regularly use
data - Variable in class elki.data.VectorUtil.SortDBIDsBySingleDimension: The relation to sort.
data - Variable in class elki.database.datastore.memory.ArrayDBIDStore: Data array
data - Variable in class elki.database.datastore.memory.ArrayDoubleStore: Data array
data - Variable in class elki.database.datastore.memory.ArrayIntegerStore: Data array
data - Variable in class elki.database.datastore.memory.ArrayRecordStore: Data array
data - Variable in class elki.database.datastore.memory.ArrayStore: Data array.
data - Variable in class elki.database.datastore.memory.MapIntegerDBIDRecordStore: Storage Map.
data - Variable in class elki.database.datastore.memory.MapIntegerDBIDStore: Storage Map.
data - Variable in class elki.database.datastore.memory.MapRecordStore: Storage Map.
data - Variable in class elki.database.datastore.memory.MapStore: Storage Map.
data - Variable in class elki.datasource.ArrayAdapterDatabaseConnection: The actual data.
data - Variable in class elki.datasource.bundle.BundleReader: Current object.
data - Variable in class elki.math.geometry.XYCurve: X and Y positions
data - Variable in class elki.math.geometry.XYPlot.Curve: X and Y positions
data - Variable in class elki.parallel.variables.SharedDouble.Instance: Cache for last data consumed/produced
data - Variable in class elki.parallel.variables.SharedInteger.Instance: Cache for last data consumed/produced
data - Variable in class elki.parallel.variables.SharedObject.Instance: Cache for last data consumed/produced
data - Variable in class elki.svm.qmatrix.CachedQMatrix: Data storage
data - Variable in class elki.utilities.datastructures.arraylike.DoubleArray: (Reused) store for numerical attributes.
data - Variable in class elki.utilities.datastructures.arraylike.IntegerArray: (Reused) store for numerical attributes.
data - Variable in class elki.utilities.datastructures.histogram.DoubleHistogram: Data store
data - Variable in class elki.utilities.datastructures.histogram.ObjHistogram: Data store
data - Variable in class elki.utilities.datastructures.iterator.ArrayListIter: The array list to iterate over.
data - Static variable in class elki.utilities.ELKIServiceRegistry: Registry data.
data(int) - Method in class elki.datasource.bundle.BundleReader
data(int) - Method in interface elki.datasource.bundle.BundleStreamSource: Access a particular object and representation.
data(int) - Method in class elki.datasource.bundle.SingleObjectBundle: Get the value of the ith component.
data(int) - Method in class elki.datasource.bundle.StreamFromBundle
data(int) - Method in class elki.datasource.filter.AbstractStreamConversionFilter
data(int) - Method in class elki.datasource.filter.cleaning.DropNaNFilter
data(int) - Method in class elki.datasource.filter.cleaning.NoMissingValuesFilter
data(int) - Method in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
data(int) - Method in class elki.datasource.filter.cleaning.VectorDimensionalityFilter
data(int) - Method in class elki.datasource.filter.NoOpFilter
data(int) - Method in class elki.datasource.filter.selection.ByLabelFilter
data(int) - Method in class elki.datasource.filter.selection.FirstNStreamFilter
data(int) - Method in class elki.datasource.filter.selection.RandomSamplingStreamFilter
data(int) - Method in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter
data(int) - Method in class elki.datasource.parser.ClusteringVectorParser
data(int) - Method in class elki.datasource.parser.NumberVectorLabelParser
data(int) - Method in class elki.datasource.parser.SimplePolygonParser
data(int) - Method in class elki.datasource.parser.SimpleTransactionParser
data(int, int) - Method in class elki.datasource.bundle.MultipleObjectsBundle
data(int, int) - Method in interface elki.datasource.bundle.ObjectBundle: Access a particular object and representation.
data(int, int) - Method in class elki.datasource.bundle.SingleObjectBundle
database - Variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Data source to process.
database - Variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par: Data source to process.
database - Variable in class elki.application.cache.CacheDoubleDistanceKNNLists: Data source to process.
database - Variable in class elki.application.cache.CacheDoubleDistanceKNNLists.Par: Data source to process.
database - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries: Data source to process.
database - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par: Data source to process.
database - Variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Data source to process.
database - Variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Par: Data source to process.
database - Variable in class elki.application.cache.PrecomputeDistancesAsciiApplication: Data source to process.
database - Variable in class elki.application.cache.PrecomputeDistancesAsciiApplication.Par: Data source to process.
database - Variable in class elki.clustering.correlation.cash.CASHIntervalSplit: The database storing the parameterization functions.
database - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Database for cloning neighbor predicates.
database - Variable in class elki.database.relation.RelationUtil.RelationObjectIterator: The database we use.
database - Variable in class elki.similarity.AbstractDBIDSimilarity: The database we work on
database - Variable in class elki.visualization.gui.SelectionTableWindow: The database we use
database - Variable in class elki.workflow.InputStep: Holds the database to have the algorithms run with.
database - Variable in class elki.workflow.InputStep.Par: Holds the database to have the algorithms run on.
Database - Interface in elki.database: Database specifies the requirements for any database implementation.
DATABASE_CONNECTION_ID - Static variable in class elki.application.ConvertToBundleApplication.Par: Option to specify the data source for the database.
DATABASE_CONNECTION_ID - Static variable in class elki.database.AbstractDatabase.Par: Option to specify the data source for the database.
DATABASE_ID - Static variable in class elki.application.AbstractApplication.Par: Option ID to specify the database type
DATABASE_ID - Static variable in class elki.workflow.InputStep.Par: Option ID to specify the database type
databaseConnection - Variable in class elki.application.ClassifierHoldoutEvaluationTask: Holds the database connection to get the initial data from.
databaseConnection - Variable in class elki.application.ClassifierHoldoutEvaluationTask.Par: Holds the database connection to get the initial data from.
databaseConnection - Variable in class elki.database.HashmapDatabase: The data source we get the initial data from.
databaseConnection - Variable in class elki.database.HashmapDatabase.Par: Holds the database connection to get the initial data from.
databaseConnection - Variable in class elki.database.StaticArrayDatabase: The data source we get the initial data from.
databaseConnection - Variable in class elki.database.StaticArrayDatabase.Par: Holds the database connection to get the initial data from.
DatabaseConnection - Interface in elki.datasource: DatabaseConnection is used to load data into a database.
DatabaseDistanceQuery<O> - Interface in elki.database.query.distance: Run a database query in a database context.
DatabaseEventManager - Class in elki.database: Class to manage database events such as insertions and removals.
DatabaseEventManager() - Constructor for class elki.database.DatabaseEventManager
DatabaseEventManager.Type - Enum in elki.database: Types for aggregation.
DatabaseSimilarityQuery<O> - Interface in elki.database.query.similarity: Run a database query in a database context.
DatabaseTableModel() - Constructor for class elki.visualization.gui.SelectionTableWindow.DatabaseTableModel
DatabaseUtil - Class in elki.database: Class with Database-related utility functions such as centroid computation, covariances etc.
DatabaseUtil() - Constructor for class elki.database.DatabaseUtil: Fake constructor: Do not instantiate!
dataLength() - Method in class elki.datasource.bundle.MultipleObjectsBundle
dataLength() - Method in interface elki.datasource.bundle.ObjectBundle: Get the number of objects contained.
dataLength() - Method in class elki.datasource.bundle.SingleObjectBundle
DATALINE - Static variable in class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance: Generic tags to indicate the type of element.
DATALINE - Static variable in class elki.visualization.visualizers.parallel.LineVisualization.Instance: Generic tags to indicate the type of element.
dataListenerList - Variable in class elki.database.DatabaseEventManager: Holds the listeners for data store changes
DataSet - Interface in elki.svm.data: API to plug in custom data representations into libSVM.
DataStore<T> - Interface in elki.database.datastore: Generic storage interface for objects indexed by DBID.
DataStoreEvent - Class in elki.database.datastore: Encapsulates information describing changes, i.e. updates, insertions, and / or deletions in a DataStore, and used to notify all subscribed DataStoreListener of the change.
DataStoreEvent(DBIDs, DBIDs, DBIDs) - Constructor for class elki.database.datastore.DataStoreEvent: Constructor.
DataStoreFactory - Interface in elki.database.datastore: API for a storage factory used for producing larger storage maps.
DataStoreIDMap - Interface in elki.database.datastore: Interface to map DBIDs to integer record ids for use in storage.
DataStoreListener - Interface in elki.database.datastore: Defines the interface for an object that listens to changes in a DataStore.
dataStoreObjects - Variable in class elki.database.DatabaseEventManager: The objects that were changed in the current DataStoreEvent.
DataStoreUtil - Class in elki.database.datastore: Storage utility class.
DataStoreUtil() - Constructor for class elki.database.datastore.DataStoreUtil: Private constructor.
DataStoreUtil.AscendingByDoubleDataStore - Class in elki.database.datastore: Sort objects by a double relation
DataStoreUtil.AscendingByDoubleDataStoreAndId - Class in elki.database.datastore: Sort objects by a double relation
DataStoreUtil.AscendingByIntegerDataStore - Class in elki.database.datastore: Sort objects by a integer relation
DataStoreUtil.DescendingByDoubleDataStore - Class in elki.database.datastore: Sort objects by a double relation
DataStoreUtil.DescendingByDoubleDataStoreAndId - Class in elki.database.datastore: Sort objects by a double relation
DataStoreUtil.DescendingByIntegerDataStore - Class in elki.database.datastore: Sort objects by a integer relation
dataVector(NumberVector) - Method in class elki.data.model.CorrelationAnalysisSolution: Returns the data vectors after projection.
DaviesBouldinIndex - Class in elki.evaluation.clustering.internal: Compute the Davies-Bouldin index of a data set.
DaviesBouldinIndex(NumberVectorDistance<?>, NoiseHandling, double) - Constructor for class elki.evaluation.clustering.internal.DaviesBouldinIndex: Constructor.
DaviesBouldinIndex.Par - Class in elki.evaluation.clustering.internal: Parameterization class.
db - Variable in class elki.database.relation.RelationUtil.CollectionFromRelation: The database we query.
DBCV<O> - Class in elki.evaluation.clustering.internal: Compute the Density-Based Clustering Validation Index.
DBCV(Distance<? super O>) - Constructor for class elki.evaluation.clustering.internal.DBCV: Constructor.
DBCV.Par<O> - Class in elki.evaluation.clustering.internal: Parameterization class.
dbgStyle - Variable in class elki.gui.util.LogPane: Debug message style
DBID - Interface in elki.database.ids: Database ID object.
DBID - Static variable in class elki.data.type.TypeUtil: Database IDs.
DBIDArrayIter - Interface in elki.database.ids: Array iterators that can also go backwards and seek.
DBIDArrayMIter - Interface in elki.database.ids: Modifiable array iterator.
DBIDDataStore - Interface in elki.database.datastore: DBID-valued data store (avoids boxing/unboxing).
DBIDDistance - Interface in elki.distance: Distance functions valid in a database context only (i.e. for DBIDs)
DBIDDistanceQuery - Class in elki.database.query.distance: Run a distance query based on DBIDs
DBIDDistanceQuery(Relation<DBID>, DBIDDistance) - Constructor for class elki.database.query.distance.DBIDDistanceQuery: Constructor.
DBIDFactory - Interface in elki.database.ids: Factory interface for generating DBIDs.
DBIDIter - Interface in elki.database.ids: Iterator for DBIDs.
DBIDMIter - Interface in elki.database.ids: Modifiable DBID iterator.
DBIDPair - Interface in elki.database.ids: Immutable pair of two DBIDs, more memory efficient than two DBIDs.
DBIDRange - Interface in elki.database.ids: Static DBID range.
DBIDRangeDatabaseConnection - Class in elki.datasource: This is a fake datasource that produces a static DBID range only.
DBIDRangeDatabaseConnection(int, int) - Constructor for class elki.datasource.DBIDRangeDatabaseConnection: Constructor.
DBIDRangeDatabaseConnection.Par - Class in elki.datasource: Parameterization class.
DBIDRangeDistance - Interface in elki.distance: Distance functions valid in a static database context only (i.e. for DBIDRanges) For any "distance" that cannot be computed for arbitrary objects, only those that exist in the database and referenced by their ID.
DBIDRangeDistanceQuery - Class in elki.database.query.distance: Run a distance query based on DBIDRanges
DBIDRangeDistanceQuery(Relation<DBID>, DBIDRangeDistance) - Constructor for class elki.database.query.distance.DBIDRangeDistanceQuery: Constructor.
DBIDRef - Interface in elki.database.ids: Some object referencing a DBID.
dbids - Variable in class elki.visualization.gui.SelectionTableWindow: The DBIDs to display
DBIDs - Interface in elki.database.ids: Interface for a collection of database references (IDs).
DBIDS - Static variable in class elki.data.type.TypeUtil: Database ID lists (but not single DBIDs).
DBIDSelection - Class in elki.result: Class representing selected Database-IDs and/or a selection range.
DBIDSelection(DBIDs) - Constructor for class elki.result.DBIDSelection: Constructor with new object IDs.
DBIDSimilarity - Interface in elki.similarity: Interface DBIDSimilarity describes the requirements of any similarity function defined over object IDs.
DBIDUtil - Class in elki.database.ids: DBID Utility functions.
DBIDUtil() - Constructor for class elki.database.ids.DBIDUtil: Static - no public constructor.
DBIDVar - Interface in elki.database.ids: (Persistent) variable storing a DBID reference.
DBIDView - Class in elki.database.relation: Pseudo-representation that is the object ID itself.
DBIDView(DBIDs) - Constructor for class elki.database.relation.DBIDView: Constructor.
DBOutlierDetection<O> - Class in elki.outlier.distance: Simple distanced based outlier detection algorithm.
DBOutlierDetection(Distance<? super O>, double, double) - Constructor for class elki.outlier.distance.DBOutlierDetection: Constructor with actual parameters.
DBOutlierDetection.Par<O> - Class in elki.outlier.distance: Parameterization class.
DBOutlierScore<O> - Class in elki.outlier.distance: Compute percentage of neighbors in the given neighborhood with size d.
DBOutlierScore(Distance<? super O>, double) - Constructor for class elki.outlier.distance.DBOutlierScore: Constructor with parameters.
DBOutlierScore.Par<O> - Class in elki.outlier.distance: Parameterization class.
DBSCAN<O> - Class in elki.clustering.dbscan: Density-Based Clustering of Applications with Noise (DBSCAN), an algorithm to find density-connected sets in a database.
DBSCAN(Distance<? super O>, double, int) - Constructor for class elki.clustering.dbscan.DBSCAN: Constructor with parameters.
DBSCAN.Instance - Class in elki.clustering.dbscan: Instance for a single data set.
DBSCAN.Par<O> - Class in elki.clustering.dbscan: Parameterization class.
DBSCANOutlierDetection - Class in elki.outlier.clustering: Outlier detection algorithm using DBSCAN Clustering.
DBSCANOutlierDetection(GeneralizedDBSCAN) - Constructor for class elki.outlier.clustering.DBSCANOutlierDetection: Constructor with an existing Genearalized DBSCAN clustering algorithm.
DBSCANOutlierDetection.Par - Class in elki.outlier.clustering: Parameterizer.
dbsize - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Database size.
dc - Variable in class elki.clustering.CFSFDP: Distance cutoff.
dc - Variable in class elki.clustering.CFSFDP.Par: Distance cutoff.
dc - Variable in class tutorial.clustering.CFSFDP: Distance cutoff.
dc - Variable in class tutorial.clustering.CFSFDP.Par: Distance cutoff.
DC_ID - Static variable in class elki.clustering.CFSFDP.Par: Distance cutoff parameter.
DC_ID - Static variable in class tutorial.clustering.CFSFDP.Par: Distance cutoff parameter.
DCGEvaluation - Class in elki.evaluation.scores: Discounted Cumulative Gain.
DCGEvaluation() - Constructor for class elki.evaluation.scores.DCGEvaluation
DCGEvaluation.Par - Class in elki.evaluation.scores: Parameterization class.
DCor - Class in elki.math.statistics.dependence: Distance correlation.
DCor() - Constructor for class elki.math.statistics.dependence.DCor: Constructor - use DCor.STATIC instance instead!
DCor.Par - Class in elki.math.statistics.dependence: Parameterization class
deallocateDBIDRange(DBIDRange) - Method in interface elki.database.ids.DBIDFactory: Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Static method in class elki.database.ids.DBIDUtil: Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Method in class elki.database.ids.integer.TrivialDBIDFactory
deallocateSingleDBID(DBID) - Static method in class elki.database.ids.DBIDUtil: Return a single DBID for reuse.
deallocateSingleDBID(DBIDRef) - Method in interface elki.database.ids.DBIDFactory: Return a single DBID for reuse.
deallocateSingleDBID(DBIDRef) - Method in class elki.database.ids.integer.TrivialDBIDFactory
dearrange(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection: Undo the rearrangement of components.
dearrange(double[]) - Method in class elki.visualization.projections.Simple1D
dearrange(double[]) - Method in class elki.visualization.projections.Simple2D
debug(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'fine' debugging level.
debug(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'fine' debugging level.
DEBUG - Static variable in class elki.logging.LoggingConfiguration: General debug flag.
DEBUG - Static variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: Flag to enable debug rendering.
DEBUG - Static variable in class elki.visualization.parallel3d.util.Arcball1DOFAdapter: Debug flag.
DEBUG_ID - Static variable in class elki.application.AbstractApplication.Par: Optional Parameter to specify a class to enable debugging for.
DEBUG_LAYOUT - Static variable in class elki.visualization.gui.overview.OverviewPlot: Draw red borders around items.
debugDumpCandidates(StringBuilder, List<? extends Itemset>, VectorFieldTypeInformation<BitVector>) - Method in class elki.itemsetmining.APRIORI: Debug method: output all itemsets.
debugExtraCheckSymmetry - Static variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Debug flag, to double-check all write operations.
debugExtraCheckSymmetry - Static variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Debug flag, to double-check all write operations.
debugExtraCheckSymmetry - Variable in class elki.application.cache.PrecomputeDistancesAsciiApplication: Debug flag, to double-check all write operations.
debugFine(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFine(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'fine' debugging level.
debugFiner(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFiner(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'finer' debugging level.
debugFinest(CharSequence) - Method in class elki.logging.Logging: Log a message at the 'finest' debugging level.
debugFinest(CharSequence, Throwable) - Method in class elki.logging.Logging: Log a message at the 'finest' debugging level.
debugformat - Variable in class elki.gui.util.LogPane: Formatter for debugging messages
debugformat - Variable in class elki.logging.CLISmartHandler: Formatter for debugging messages
debugHull() - Method in class elki.math.geometry.SweepHullDelaunay2D: Debug helper
debugLogMatrix(Level, long, String) - Method in class elki.utilities.datastructures.KuhnMunkres: Debug logging of the matrix.
debugRender(GL2) - Method in class elki.visualization.parallel3d.util.Arcball1DOFAdapter: Render a debugging hint for the arcball tool.
decoder - Variable in class elki.utilities.io.ByteArrayUtil.StringSerializer: Decoder.
decreaseCutoff(double) - Method in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher
decreaseCutoff(double) - Method in class elki.database.query.distance.LinearScanPrioritySearcher
decreaseCutoff(double) - Method in class elki.database.query.ExactPrioritySearcher
decreaseCutoff(double) - Method in interface elki.database.query.PrioritySearcher: Decrease the cutoff threshold.
decreaseCutoff(double) - Method in class elki.database.query.WrappedPrioritySearchDBIDByLookup
decreaseCutoff(double) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher
decreaseCutoff(double) - Method in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher
DecreasingVectorIter - Class in elki.evaluation.scores.adapter: Class to iterate over a number vector in decreasing order.
DecreasingVectorIter(NumberVector, NumberVector) - Constructor for class elki.evaluation.scores.adapter.DecreasingVectorIter: Constructor.
decrement() - Method in class elki.logging.statistics.AtomicLongCounter
decrement() - Method in interface elki.logging.statistics.Counter: Decrement the counter.
decrement() - Method in class elki.logging.statistics.UnsynchronizedLongCounter
def - Variable in class elki.database.datastore.memory.ArrayDoubleStore: Default value.
def - Variable in class elki.database.datastore.memory.ArrayIntegerStore: Default value (for ArrayIntegerStore.clear()).
DEFAULT - Static variable in annotation type elki.utilities.Priority: Default priority.
DEFAULT - Static variable in class elki.utilities.random.RandomFactory: Global default factory
DEFAULT - Static variable in interface elki.visualization.style.StyleLibrary: Default
DEFAULT_ALPHA - Static variable in class elki.clustering.correlation.HiCO: The default value for HiCO.Par.ALPHA_ID.
DEFAULT_ALPHA - Static variable in class elki.clustering.subspace.HiSC.Par: The default value for alpha.
DEFAULT_ALPHA - Static variable in class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter: The default value for alpha.
DEFAULT_APPLICATION - Static variable in class elki.application.ELKILauncher: Application to run by default.
DEFAULT_ARFF_MAGIC_CLASS - Static variable in class elki.datasource.parser.ArffParser: Pattern to auto-convert columns to class labels.
DEFAULT_ARFF_MAGIC_EID - Static variable in class elki.datasource.parser.ArffParser: Pattern to auto-convert columns to external ids.
DEFAULT_BINS - Static variable in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer: Number of bins to use in histogram.
DEFAULT_BUTTON_COLOR - Static variable in class elki.visualization.svg.SVGButton: Default button color
DEFAULT_DEGREE - Static variable in class elki.similarity.kernel.PolynomialKernel: The default degree.
DEFAULT_DELTA - Static variable in class elki.clustering.correlation.FourC.Settings.Par: The default value for delta.
DEFAULT_DELTA - Static variable in class elki.clustering.correlation.HiCO: The default value for HiCO.Par.DELTA_ID.
DEFAULT_DELTA - Static variable in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter: The default value for delta.
DEFAULT_DISTANCE_FUNCTION - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory: The default distance function.
DEFAULT_ENSEMBLE_DEPTH - Static variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Default number of clusterings to run.
DEFAULT_EPSILON - Static variable in class elki.clustering.subspace.DiSH.Par: The default value for epsilon.
DEFAULT_FORMAT - Static variable in class elki.datasource.parser.CSVReaderFormat: Default CSV input format.
DEFAULT_INITIAL_CAPACITY - Static variable in class elki.utilities.datastructures.heap.Heap: Default initial capacity.
DEFAULT_INSTANTIABLE - elki.application.internal.CheckParameterizables.State
DEFAULT_PALPHA - Static variable in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter: The default value for alpha.
DEFAULT_PATTERN - Static variable in class elki.outlier.trivial.ByLabelOutlier: The default pattern to use.
DEFAULT_PREFIX - Static variable in class elki.visualization.style.marker.PrettyMarkers: Default prefix to use.
DEFAULT_PROPERTIES_EXTENSION - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: File extension
DEFAULT_PROPERTIES_PATH - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Default properties path
DEFAULT_QUALITY - Static variable in class elki.visualization.svg.SVGPlot: Default JPEG quality setting
DEFAULT_RALPHA - Static variable in class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter: The default value for ralpha.
DEFAULT_SAMPLE_SIZE - Static variable in class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par: Default sample size for generating finite representations.
DEFAULT_SAMPLE_SIZE - Static variable in class elki.visualization.VisualizerParameterizer: Default sample size to visualize.
DEFAULT_SCHEME_FILENAME - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: File name of the default color scheme.
DEFAULT_SCHEME_NAME - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Name of the default color scheme.
DEFAULT_SEPARATOR - Static variable in class elki.data.HierarchicalClassLabel: The default separator pattern, a point ('.').
DEFAULT_SEPARATOR - Static variable in class elki.datasource.parser.CSVReaderFormat: A pattern defining whitespace.
DEFAULT_SEPARATOR_STRING - Static variable in class elki.data.HierarchicalClassLabel: The default separator, a point ('.').
DEFAULT_STRATEGY - Static variable in class elki.clustering.subspace.DiSH.Par: Default strategy.
DEFAULT_TEXT_COLOR - Static variable in class elki.visualization.svg.SVGButton: Default text color
DEFAULT_THRESHOLD - Static variable in class elki.visualization.batikutil.LazyCanvasResizer: Default threshold for resizing.
DEFAULT_TITLE - Static variable in class elki.result.AutomaticVisualization: Default title
DEFAULT_TITLE - Static variable in class elki.visualization.savedialog.SVGSaveDialog: The default title.
DEFAULT_TRY_LIMIT - Static variable in class elki.data.uncertain.AbstractUncertainObject: Default retry limit for sampling, to guard against bad parameters.
DEFAULT_WALPHA - Static variable in class elki.math.linearalgebra.pca.filter.DropEigenPairFilter: The default value for walpha.
DEFAULT_WALPHA - Static variable in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter: The default value for alpha.
DEFAULT_WALPHA - Static variable in class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter: The default value for walpha.
DEFAULT_WALPHA - Static variable in class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter: The default value for walpha.
DEFAULTDIST_ID - Static variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par: Optional parameter to specify the distance to return when no distance was given in the file.
DEFAULTDIST_ID - Static variable in class elki.distance.external.FileBasedSparseFloatDistance.Par: Optional parameter to specify the distance to return when no distance was given in the file.
defaultDistance - Variable in class elki.distance.external.FileBasedSparseDoubleDistance: Distance to return when not defined otherwise.
defaultDistance - Variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par: Distance to return when not defined otherwise.
defaultDistance - Variable in class elki.distance.external.FileBasedSparseFloatDistance: Distance to return when not defined otherwise.
defaultDistance - Variable in class elki.distance.external.FileBasedSparseFloatDistance.Par: Distance to return when not defined otherwise.
defaultHandlers - Static variable in class elki.workflow.OutputStep
defaultInitializer() - Method in class elki.clustering.kmedoids.FastPAM.Par
defaultInitializer() - Method in class elki.clustering.kmedoids.PAM.Par: Default initialization method.
defaultInitializer() - Method in class elki.clustering.silhouette.FastMSC.Par
defaultInitializer() - Method in class elki.clustering.silhouette.PAMSIL.Par
DefaultPageHeader - Class in elki.persistent: Default implementation of a page header.
DefaultPageHeader() - Constructor for class elki.persistent.DefaultPageHeader: Empty constructor for serialization.
DefaultPageHeader(int) - Constructor for class elki.persistent.DefaultPageHeader: Creates a new header with the specified parameters.
defaultpath - Variable in class elki.gui.util.ParameterTable.FileNameEditor: Default path.
defaultRate() - Method in class elki.clustering.kmedoids.CLARANS.Par: Default sampling rate.
defaultRate() - Method in class elki.clustering.kmedoids.FastCLARANS.Par
defaultValue - Variable in class elki.utilities.optionhandling.parameters.AbstractParameter: The default value of the parameter (may be null).
defaultValueTaken - Variable in class elki.utilities.optionhandling.parameters.AbstractParameter: Whether the default value of this parameter was used.
defbg - Variable in class elki.gui.util.TreePopup.Renderer: Colors
deffg - Variable in class elki.gui.util.TreePopup.Renderer: Colors
defineBicluster(long[], long[]) - Method in class elki.clustering.biclustering.AbstractBiclustering: Defines a Bicluster as given by the included rows and columns.
defineBicluster(BitSet, BitSet) - Method in class elki.clustering.biclustering.AbstractBiclustering: Defines a Bicluster as given by the included rows and columns.
deflate(double[], int, int, boolean) - Method in class elki.math.linearalgebra.SingularValueDecomposition
defs - Variable in class elki.visualization.svg.SVGPlot: Definitions element of the document.
deg2rad(double) - Static method in class elki.math.MathUtil: Convert Degree to Radians.
DEG2RAD - Static variable in class elki.math.MathUtil: Constant for degrees to radians.
degree - Variable in class elki.similarity.kernel.PolynomialKernel: Degree of the polynomial kernel function.
degree - Variable in class elki.similarity.kernel.PolynomialKernel.Par: Degree of the polynomial kernel function.
DEGREE_ID - Static variable in class elki.similarity.kernel.PolynomialKernel.Par: Degree parameter.
delaunay - Variable in class elki.math.geometry.AlphaShape: Delaunay triangulation
DELAUNAY - elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Mode: Draw Delaunay triangulation.
delete(DBIDRef) - Method in class elki.database.datastore.memory.ArrayDBIDStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.ArrayDoubleStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.ArrayIntegerStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
delete(DBIDRef) - Method in class elki.database.datastore.memory.ArrayStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDStore
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapRecordStore.StorageAccessor
delete(DBIDRef) - Method in class elki.database.datastore.memory.MapStore
delete(DBIDRef) - Method in interface elki.database.datastore.WritableDataStore: Delete the contents for a particular ID and notifies the registered listeners.
delete(DBIDRef) - Method in class elki.database.HashmapDatabase: Removes the object from the database (by calling HashmapDatabase.doDelete(DBIDRef) ) and indexes and fires a deletion event.
delete(DBIDRef) - Method in class elki.database.relation.MaterializedDoubleRelation: Delete an objects values.
delete(DBIDRef) - Method in class elki.database.relation.MaterializedRelation: Delete an objects values.
delete(DBIDRef) - Method in interface elki.database.relation.ModifiableRelation: Delete an objects values.
delete(DBIDRef) - Method in interface elki.database.UpdatableDatabase: Removes and returns the specified objects with the given ids from the database.
delete(DBIDRef) - Method in interface elki.index.DynamicIndex: Deletes the specified object from this index.
delete(DBIDRef) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
delete(DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Deletes the specified object from this index.
delete(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
delete(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Deletes the specified object from this index.
delete(DBIDRef) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex: Deletes the specified object from this index.
delete(DBIDs) - Method in class elki.database.HashmapDatabase: Removes the objects from the database (by calling HashmapDatabase.doDelete(DBIDRef) for each object) and indexes and fires a deletion event.
delete(DBIDs) - Method in interface elki.database.UpdatableDatabase: Removes and returns the specified objects with the given ids from the database.
DELETE - elki.index.preprocessed.knn.KNNChangeEvent.Type: Identifies the removal of objects.
deleteAll(DBIDs) - Method in interface elki.index.DynamicIndex: Deletes the specified objects from this index.
deleteAll(DBIDs) - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor
deleteAll(DBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
deleteAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
deleteAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
deleteAll(DBIDs) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
deleteAllEntries() - Method in class elki.index.tree.AbstractNode: Deletes all entries in this node.
deleteButton - Variable in class elki.visualization.gui.SelectionTableWindow: Button to delete the selected objects
deleteChildren(Element) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance: Delete the children of the element
deleteChildren(Element) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance: Delete the children of the element
deleteChildren(Element) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance: Delete the children of the element
deleteChildren(Element) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Delete the children of the element.
deleteChildren(Element) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance: Delete the children of the element
deleteEntry(int) - Method in class elki.index.tree.AbstractNode: Deletes the entry at the specified index and shifts all entries after the index to left.
deleteEntry(int) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode: Deletes the entry at the specified index and shifts all entries after the index to left.
deleteNode(N) - Method in class elki.index.tree.IndexTree: Delete a node from the backing storage.
deletePage(int) - Method in class elki.persistent.AbstractStoringPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class elki.persistent.LRUCache
deletePage(int) - Method in class elki.persistent.MemoryPageFile
deletePage(int) - Method in class elki.persistent.OnDiskArrayPageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in interface elki.persistent.PageFile: Deletes the node with the specified id from this file.
deletePage(int) - Method in class elki.persistent.PersistentPageFile: Deletes the node with the specified id from this file.
deletePath(IndexTreePath<E>) - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Delete a leaf at a given path - deletions for non-leaves are not supported!
DeLiClu<V extends NumberVector> - Class in elki.clustering.optics: DeliClu: Density-Based Hierarchical Clustering
DeLiClu(DeLiCluTreeFactory<? super V>, SpatialPrimitiveDistance<? super V>, int) - Constructor for class elki.clustering.optics.DeLiClu: Constructor.
DeLiClu.Par<V extends NumberVector> - Class in elki.clustering.optics: Parameterization class.
DeLiClu.SpatialObjectPair - Class in elki.clustering.optics: Encapsulates an entry in the cluster order.
DeLiCluDirectoryEntry - Class in elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a directory entry in an DeLiClu-Tree node.
DeLiCluDirectoryEntry() - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Empty constructor for serialization purposes.
DeLiCluDirectoryEntry(int, ModifiableHyperBoundingBox, boolean, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry: Constructs a new DeLiCluDirectoryEntry object with the given parameters.
DeLiCluEntry - Interface in elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for an entry in an DeLiClu-Tree node.
DeLiCluLeafEntry - Class in elki.index.tree.spatial.rstarvariants.deliclu: Defines the requirements for a leaf entry in an DeLiClu-Tree node.
DeLiCluLeafEntry() - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Empty constructor for serialization purposes.
DeLiCluLeafEntry(DBID, NumberVector) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry: Constructs a new LeafEntry object with the given parameters.
DeLiCluNode - Class in elki.index.tree.spatial.rstarvariants.deliclu: Represents a node in a DeLiClu-Tree.
DeLiCluNode() - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Empty constructor for Externalizable interface.
DeLiCluNode(int, boolean) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode: Creates a new DeLiCluNode with the specified parameters.
DeLiCluTree - Class in elki.index.tree.spatial.rstarvariants.deliclu: DeLiCluTree is a spatial index structure based on an R-Tree.
DeLiCluTree(PageFile<DeLiCluNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree: Constructor.
DeLiCluTreeFactory<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.deliclu: Factory for DeLiClu R*-Trees.
DeLiCluTreeFactory(PageFileFactory<?>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory: Constructor.
DeLiCluTreeFactory.Par<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.deliclu: Parameterization class.
DeLiCluTreeIndex<O extends NumberVector> - Class in elki.index.tree.spatial.rstarvariants.deliclu: The common use of the DeLiClu tree: indexing number vectors.
DeLiCluTreeIndex(Relation<O>, PageFile<DeLiCluNode>, RTreeSettings) - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex: Constructor.
delta - Variable in class elki.clustering.biclustering.ChengAndChurch: Threshold for the score.
delta - Variable in class elki.clustering.correlation.ERiC.Settings: Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
delta - Variable in class elki.clustering.correlation.FourC.Settings: Delta parameter, for selecting strong Eigenvectors.
delta - Variable in class elki.clustering.correlation.HiCO.Par: Delta parameter
delta - Variable in class elki.clustering.em.BetulaGMM: Delta parameter
delta - Variable in class elki.clustering.em.BetulaGMM.Par: Stopping threshold
delta - Variable in class elki.clustering.em.EM: Delta parameter
delta - Variable in class elki.clustering.em.EM.Par: Stopping threshold
delta - Variable in class elki.clustering.em.KDTreeEM: Delta parameter
delta - Variable in class elki.clustering.em.KDTreeEM.Par: Stopping threshold
delta - Variable in class elki.clustering.kmeans.FuzzyCMeans: Delta parameter
delta - Variable in class elki.clustering.kmeans.FuzzyCMeans.Par: Stopping threshold
delta - Variable in class elki.clustering.subspace.PreDeCon.Settings: The threshold for small eigenvalues.
delta - Variable in class elki.distance.timeseries.EDRDistance: Delta parameter, similarity threshold for attributes.
delta - Variable in class elki.distance.timeseries.EDRDistance.Par: Delta parameter, similarity threshold for attributes.
delta - Variable in class elki.index.preprocessed.knn.NNDescent: early termination parameter
delta - Variable in class elki.index.preprocessed.knn.NNDescent.Factory: early termination parameter
delta - Variable in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Par: Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class elki.math.scales.LinearScale: Scale delta := max - min
delta - Variable in class elki.outlier.clustering.EMOutlier: Delta parameter
delta - Variable in class elki.outlier.clustering.EMOutlier.Par: Stopping threshold
delta - Variable in class elki.outlier.DWOF: The radii changing ratio
delta(double, double) - Method in class elki.distance.timeseries.DTWDistance: Compute the delta of two values.
delta(double, double) - Method in class elki.distance.timeseries.EDRDistance
delta(double, double) - Method in class elki.distance.timeseries.ERPDistance
DELTA - Static variable in class elki.clustering.correlation.cash.ParameterizationFunction: A small number to handle numbers near 0 as 0.
DELTA - Static variable in class elki.math.linearalgebra.LinearEquationSystem: A small number to handle numbers near 0 as 0.
DELTA - Static variable in class elki.math.linearalgebra.VMath: A small number to handle numbers near 0 as 0.
DELTA - Static variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling: Convergence parameter
DELTA_ID - Static variable in class elki.clustering.correlation.ERiC.Par: Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.correlation.HiCO.Par: Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.em.BetulaGMM.Par: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.em.EM.Par: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.em.KDTreeEM.Par: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.kmeans.FuzzyCMeans.Par: Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < fcm.delta, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class elki.clustering.subspace.PreDeCon.Settings.Par: Parameter Delta: maximum variance allowed
DELTA_ID - Static variable in class elki.distance.timeseries.EDRDistance.Par: DELTA parameter
deltaparams - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
deltasq - Variable in class elki.clustering.correlation.HiCO: Delta parameter
deltasq - Variable in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate: Squared delta value.
DendrogramModel - Class in elki.data.model: Model for dendrograms, provides the height of this subtree.
DendrogramModel(double) - Constructor for class elki.data.model.DendrogramModel: Constructor.
DendrogramVisualization - Class in elki.visualization.visualizers.visunproj: Dendrogram visualizer.
DendrogramVisualization(DendrogramVisualization.DrawingStyle, DendrogramVisualization.PositionStyle) - Constructor for class elki.visualization.visualizers.visunproj.DendrogramVisualization: Constructor.
DendrogramVisualization.DrawingStyle - Enum in elki.visualization.visualizers.visunproj: Drawing styles for dendrograms.
DendrogramVisualization.HalfPosPositions - Class in elki.visualization.visualizers.visunproj: Compact position storage.
DendrogramVisualization.HalfWidthPositions - Class in elki.visualization.visualizers.visunproj: Compact position storage.
DendrogramVisualization.Instance - Class in elki.visualization.visualizers.visunproj: Visualization instance.
DendrogramVisualization.Par - Class in elki.visualization.visualizers.visunproj: Parameterization class.
DendrogramVisualization.Positions - Interface in elki.visualization.visualizers.visunproj: Compact position storage.
DendrogramVisualization.PositionStyle - Enum in elki.visualization.visualizers.visunproj: Positioning style
DendrogramVisualization.SwitchStyleAction - Class in elki.visualization.visualizers.visunproj: Menu item to change visualization styles.
dens - Variable in class elki.math.statistics.KernelDensityEstimator: Result storage: density
DenseAffinityMatrix - Class in elki.projection: Dense affinity matrix storage.
DenseAffinityMatrix(double[][], ArrayDBIDs) - Constructor for class elki.projection.DenseAffinityMatrix: Constructor.
densecols - Variable in class elki.datasource.filter.cleaning.DropNaNFilter: Columns to check.
densecols - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Columns to check.
denseFactory - Variable in class elki.datasource.parser.ArffParser: Factory for dense vectors.
DenseItemset - Class in elki.itemsetmining: APRIORI itemset, dense representation.
DenseItemset(long[], int) - Constructor for class elki.itemsetmining.DenseItemset: Constructor.
denseMeans(List<? extends DBIDs>, double[][], Relation<? extends NumberVector>) - Static method in class elki.clustering.kmeans.AbstractKMeans: Returns the mean vectors of the given clusters in the given database.
densePlusEquals(double[], NumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Similar to VMath.plusEquals, but accepts a number vector.
densePlusMinusEquals(double[], double[], NumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Add to one, remove from another.
denseUnits - Variable in class elki.clustering.subspace.clique.CLIQUESubspace: The dense units belonging to this subspace.
density(double) - Method in class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction
density(double) - Method in interface elki.math.statistics.kernelfunctions.KernelDensityFunction: Density contribution of a point at the given relative distance delta >= 0.
density(double) - Method in class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction
density(double) - Method in class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
density(int, HySortOD.TreeStrategy.Node, int) - Method in class elki.outlier.density.HySortOD.TreeStrategy: Recursive computing of density.
densitycorrection - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Correction factor for probability computation
DensityEstimationOverlay - Class in elki.visualization.visualizers.scatterplot.density: A simple density estimation visualization, based on a simple kernel-density in the projection, not the actual data!
DensityEstimationOverlay() - Constructor for class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay: Constructor.
DensityEstimationOverlay.Instance - Class in elki.visualization.visualizers.scatterplot.density: Instance for a particular data set.
DensityStrategy() - Constructor for class elki.outlier.density.HySortOD.DensityStrategy
dependence(double[], double[]) - Method in interface elki.math.statistics.dependence.Dependence: Measure the dependence of two variables.
dependence(NumberArrayAdapter<?, A>, A, A) - Method in interface elki.math.statistics.dependence.Dependence: Measure the dependence of two variables.
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.DCor
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in interface elki.math.statistics.dependence.Dependence: Measure the dependence of two variables.
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.HiCSDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.HoeffdingsD
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.HoughSpaceMeasure
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.JensenShannonEquiwidthDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.MCDEDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.MutualInformationEquiwidthDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.PearsonCorrelationDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.SlopeDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.SlopeInversionDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.SpearmanCorrelationDependence
dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class elki.math.statistics.dependence.SURFINGDependence
dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class elki.math.statistics.dependence.DCor
dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in interface elki.math.statistics.dependence.Dependence: Measure the dependence of two variables.
dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class elki.math.statistics.dependence.MCDEDependence
dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class elki.math.statistics.dependence.PearsonCorrelationDependence
Dependence - Interface in elki.math.statistics.dependence: Measure the dependence of two variables.
Dependence.Utils - Class in elki.math.statistics.dependence: Utility functions that were previously in the abstract class.
DEPENDENCY_DERIVATOR_RANDOM_SAMPLE_ID - Static variable in class elki.algorithm.DependencyDerivator.Par: Flag to use random sample (use knn query around centroid, if flag is not set).
dependencyDerivator - Variable in class elki.outlier.SimpleCOP: Holds the object performing the dependency derivation
DependencyDerivator<V extends NumberVector> - Class in elki.algorithm: Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DependencyDerivator(NumberVectorDistance<? super V>, NumberFormat, PCARunner, EigenPairFilter, int, boolean) - Constructor for class elki.algorithm.DependencyDerivator: Constructor.
DependencyDerivator.Par<V extends NumberVector> - Class in elki.algorithm: Parameterization class.
depth - Variable in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster: Current height.
depth - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par: Maximum depth to choose from.
depth - Variable in class elki.gui.util.DynamicParameters.Node
depth() - Method in class elki.data.HierarchicalClassLabel: The length of the hierarchy of names.
DEPTH_ID - Static variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par: Depth of the trunk based stragegy.
deref(DBIDRef) - Static method in class elki.database.ids.DBIDUtil: Dereference a DBID reference.
deref(Object) - Static method in class elki.result.Metadata: Automatically expand a reference.
derivative(int, NumberVector) - Method in class elki.distance.timeseries.DerivativeDTWDistance: Given a NumberVector and the position of an element, approximates the gradient of given element.
DerivativeDTWDistance - Class in elki.distance.timeseries: Derivative Dynamic Time Warping distance for numerical vectors.
DerivativeDTWDistance() - Constructor for class elki.distance.timeseries.DerivativeDTWDistance: Constructor.
DerivativeDTWDistance(double) - Constructor for class elki.distance.timeseries.DerivativeDTWDistance: Constructor.
descend(Object) - Method in class elki.utilities.optionhandling.parameterization.ChainedParameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class elki.utilities.optionhandling.parameterization.ListParameterization
descend(Object) - Method in class elki.utilities.optionhandling.parameterization.MergedParameterization
descend(Object) - Method in interface elki.utilities.optionhandling.parameterization.Parameterization: Descend parameterization tree into sub-option.
descend(Object) - Method in class elki.utilities.optionhandling.parameterization.TrackParameters: Descend parameterization tree into sub-option.
DescendingByDoubleDataStore(DoubleDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStore: Constructor.
DescendingByDoubleDataStoreAndId(DoubleDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStoreAndId: Constructor.
DescendingByDoubleRelation(DoubleRelation) - Constructor for class elki.database.relation.RelationUtil.DescendingByDoubleRelation: Constructor.
DescendingByIntegerDataStore(IntegerDataStore) - Constructor for class elki.database.datastore.DataStoreUtil.DescendingByIntegerDataStore: Constructor.
describeImplementations(StringBuilder, Class<?>, List<Class<?>>) - Static method in class elki.utilities.optionhandling.parameters.ClassParameter: Print the available implementations.
describeParameterizable(StringBuilder, Class<?>, int) - Static method in class elki.utilities.optionhandling.OptionUtil: Format a description of a Parameterizable (including recursive options).
describeValues(StringBuilder) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter
describeValues(StringBuilder) - Method in class elki.utilities.optionhandling.parameters.ClassListParameter
describeValues(StringBuilder) - Method in class elki.utilities.optionhandling.parameters.ClassParameter
describeValues(StringBuilder) - Method in class elki.utilities.optionhandling.parameters.EnumParameter
describeValues(StringBuilder) - Method in interface elki.utilities.optionhandling.parameters.Parameter: Describe the valid values.
description - Variable in class elki.utilities.optionhandling.OptionID: The description of the OptionID.
description() - Method in enum elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate: Descriptions of the aggregate values.
Description - Annotation Type in elki.utilities.documentation: Class/algorithm description
DESCRIPTION_ID - Static variable in class elki.application.AbstractApplication.Par: Optional Parameter to specify a class to obtain a description for.
deselectAllSegments() - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Deselect all currently selected segments
deselectSegment(Segment) - Method in class elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy: Deselect a segment
destroy() - Method in class elki.database.datastore.memory.ArrayDBIDStore
destroy() - Method in class elki.database.datastore.memory.ArrayDoubleStore
destroy() - Method in class elki.database.datastore.memory.ArrayIntegerStore
destroy() - Method in class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
destroy() - Method in class elki.database.datastore.memory.ArrayStore
destroy() - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
destroy() - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
destroy() - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
destroy() - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
destroy() - Method in class elki.database.datastore.memory.MapIntegerDBIDStore
destroy() - Method in class elki.database.datastore.memory.MapRecordStore.StorageAccessor
destroy() - Method in class elki.database.datastore.memory.MapStore
destroy() - Method in interface elki.database.datastore.WritableDataStore: Deallocate the storage, freeing the memory and notifies the registered listeners.
destroy() - Method in class elki.visualization.batikutil.DragableArea: Remove the listeners
destroy() - Method in class elki.visualization.gui.detail.DetailView: Cleanup function.
destroy() - Method in class elki.visualization.gui.overview.OverviewPlot: Destroy this overview plot.
destroy() - Method in class elki.visualization.visualizers.AbstractVisualization
destroy() - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
destroy() - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
destroy() - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
destroy() - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization
destroy() - Method in interface elki.visualization.visualizers.Visualization: Destroy the visualization.
destroyToPopulationMatrix() - Method in class elki.math.linearalgebra.CovarianceMatrix: Obtain the covariance matrix according to the population statistics: n degrees of freedom.
destroyToSampleMatrix() - Method in class elki.math.linearalgebra.CovarianceMatrix: Obtain the covariance matrix according to the sample statistics: (n-1) degrees of freedom.
destsize - Variable in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Destination (minimum) size of the structure.
destsize - Variable in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Destination (minimum) size of the structure.
det() - Method in class elki.math.linearalgebra.LUDecomposition: Determinant
detachPlot(SVGPlot) - Method in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Execute the detaching event.
DetailView - Class in elki.visualization.gui.detail: Manages a detail view.
DetailView(VisualizerContext, PlotItem, double) - Constructor for class elki.visualization.gui.detail.DetailView: Constructor.
DetailViewSelectedEvent - Class in elki.visualization.gui.overview: Event when a particular subplot was selected.
DetailViewSelectedEvent(OverviewPlot, int, String, int, PlotItem) - Constructor for class elki.visualization.gui.overview.DetailViewSelectedEvent: Constructor.
determineAlphaMax(int, double[], HyperBoundingBox) - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Determines the n-th alpha value where this function has a maximum in the specified interval.
determineAlphaMin(int, double[], HyperBoundingBox) - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Determines the n-th alpha value where this function has a minimum in the specified interval.
determineAlphaMinMax(HyperBoundingBox) - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Determines the alpha values where this function has a minumum and maximum value in the given interval.
determineBasis(double[]) - Method in class elki.clustering.correlation.CASH: Determines a basis defining a subspace described by the specified alpha values.
determineClusters() - Method in class elki.clustering.subspace.clique.CLIQUESubspace: Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.
determineClusters(List<CLIQUESubspace>) - Method in class elki.clustering.subspace.CLIQUE: Determines the clusters in the specified dense subspaces.
determineGlobalExtremum() - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Determines the global extremum of this parameterization function.
determineGlobalExtremumType() - Method in class elki.clustering.correlation.cash.ParameterizationFunction: Determines the type of the global extremum.
determineIDs(DBIDs, HyperBoundingBox, double, double) - Method in class elki.clustering.correlation.cash.CASHIntervalSplit: Determines the ids belonging to the given interval, i.e. the parameterization functions falling within the interval.
determineMinMaxDistance(Relation<ParameterizationFunction>, int) - Method in class elki.clustering.correlation.CASH: Determines the minimum and maximum function value of all parameterization functions stored in the specified database.
determineNextIntervalAtMaxLevel(ObjectHeap<CASHInterval>) - Method in class elki.clustering.correlation.CASH: Determines the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects.
determinePreferenceVector(DBIDRef, DBIDs) - Method in class elki.clustering.subspace.HiSC.Instance: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(ModifiableDBIDs[], StringBuilder) - Method in class elki.clustering.subspace.DiSH.Instance: Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(ModifiableDBIDs[], StringBuilder) - Method in class elki.clustering.subspace.DiSH.Instance: Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(ModifiableDBIDs[], StringBuilder) - Method in class elki.clustering.subspace.DiSH.Instance: Determines the preference vector with the max intersection strategy.
DEV_MAX_ID - Static variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par: Parameter for maximum 3-sigma deviation.
DEV_MAX_ID - Static variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par: Maximum deviation of the generated bounding box.
DEV_MIN_ID - Static variable in class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par: Parameter for minimum 3-sigma deviation.
DEV_MIN_ID - Static variable in class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par: Minimum deviation of the generated bounding box.
devianceTerm(double, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Evaluate the deviance term of the saddle point approximation.
deviation(double[][]) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest: K-samples version of the Anderson-Darling test.
deviation(double[], double[]) - Method in interface elki.math.statistics.tests.GoodnessOfFitTest: Measure the deviation of a full sample from a conditional sample.
deviation(double[], double[]) - Method in class elki.math.statistics.tests.KolmogorovSmirnovTest
deviation(double[], double[]) - Method in class elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
deviation(double[], double[]) - Method in class elki.math.statistics.tests.WelchTTest
deviation(double[], double[][]) - Method in class elki.clustering.correlation.LMCLUS: Deviation from a manifold described by beta.
df - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance: Distance function.
dfs(CLIQUEUnit, ModifiableDBIDs, CLIQUESubspace) - Method in class elki.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 elki.math.linearalgebra.VMath: Returns a quadratic matrix consisting of zeros and of the given values on the diagonal.
DiagonalGaussianModel - Class in elki.clustering.em.models: Simpler model for a single Gaussian cluster, without covariances.
DiagonalGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.DiagonalGaussianModel: Constructor.
DiagonalGaussianModel(double, double[], double[]) - Constructor for class elki.clustering.em.models.DiagonalGaussianModel: Constructor.
DiagonalGaussianModelFactory - Class in elki.clustering.em.models: Factory for EM with multivariate gaussian models using diagonal matrixes.
DiagonalGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.DiagonalGaussianModelFactory: Constructor.
DIALOG_ERROR - Static variable in class elki.gui.icons.StockIcon
DIALOG_INFORMATION - Static variable in class elki.gui.icons.StockIcon
DIALOG_WARNING - Static variable in class elki.gui.icons.StockIcon
diameter - Variable in class elki.outlier.distance.HilOut.HilbertFeatures: Data space diameter
DiameterCriterion - Class in elki.clustering.hierarchical.birch: Average Radius (R) criterion.
DiameterCriterion() - Constructor for class elki.clustering.hierarchical.birch.DiameterCriterion
DiameterCriterion.Par - Class in elki.clustering.hierarchical.birch: Parameterization class
difference(DBIDs, DBIDs) - Static method in class elki.database.ids.DBIDUtil: Returns the difference of the two specified collection of IDs.
digamma(double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Compute the Psi / Digamma function
DIGITS_ID - Static variable in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Par: Parameter for the gamma-correction.
dim - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators: Benchmark parameters.
dim - Variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Benchmark parameters.
dim - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Dimensionality.
dim - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering: Dimension to use for clustering.
dim - Variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par: Dimension to use for clustering.
dim - Variable in class elki.data.spatial.SpatialSingleMaxComparator: Current dimension.
dim - Variable in class elki.data.spatial.SpatialSingleMeanComparator: Current dimension.
dim - Variable in class elki.data.spatial.SpatialSingleMinComparator: Current dimension.
dim - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: The dimensionality
dim - Variable in class elki.datasource.filter.cleaning.VectorDimensionalityFilter: Desired dimensionality.
dim - Variable in class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter: Dimension to use for sorting.
dim - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection: Dimensionality.
dim - Variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Dimensionality.
dim - Variable in class elki.distance.subspace.OnedimensionalDistance: The dimension to be considered for distance computation.
dim - Variable in class elki.distance.subspace.OnedimensionalDistance.Par: Selected dimension.
dim - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDNode: Split dimension
dim - Variable in class elki.index.tree.spatial.kd.split.SplitStrategy.Info: Split dimension
dim - Variable in class elki.math.linearalgebra.AffineTransformation: the dimensionality of the transformation
dim - Variable in class elki.math.linearalgebra.pca.AutotuningPCA.Cand: Dimensionality
dim - Variable in class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Sorter: Current dimension.
dim - Variable in class elki.outlier.density.IsolationForest.Node: Dimension to split at.
dim - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch: Database dimensionality.
dim - Variable in class elki.outlier.subspace.OUTRES.KernelDensityEstimator: Dimensionality of data set
dim - Variable in class elki.projection.SNE: Desired projection dimensionality
dim - Variable in class elki.projection.TSNE: Desired projection dimensionality
dim - Variable in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.AbstractNode: Dimension represented by this node.
dim - Variable in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.LowerTriangularAdapter
dim - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Dimensionality.
dim - Variable in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance: Dimension.
dim() - Method in class elki.evaluation.scores.adapter.AbstractVectorIter: Get the dimension in the original vector.
DIM_ID - Static variable in class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par: Dimensionality.
DIM_ID - Static variable in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par: Dimension to use for clustering.
DIM_ID - Static variable in class elki.datasource.filter.typeconversions.UncertainSplitFilter.Par: Parameter for specifying the number of dimensions of the sample.
DIM_ID - Static variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par: Parameter for specifying the number of dimensions of the sample.
DIM_ID - Static variable in class elki.datasource.RandomDoubleVectorDatabaseConnection.Par: Database to specify the random vector dimensionality.
DIM_ID - Static variable in class elki.distance.subspace.OnedimensionalDistance.Par: Parameter for dimensionality.
DIM_ID - Static variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par: Parameter for choosing the number of dimensions to use for each curve.
dim1 - Variable in class elki.visualization.parallel3d.layout.Layout.Edge: The two dimensions connected by this edge.
dim1 - Variable in class elki.visualization.projections.Simple2D: Dimensions for fast projection mode.
dim2 - Variable in class elki.visualization.parallel3d.layout.Layout.Edge: The two dimensions connected by this edge.
dim2 - Variable in class elki.visualization.projections.Simple2D: Dimensions for fast projection mode.
dimension - Variable in class elki.data.model.DimensionModel: Number of dimensions
dimension - Variable in class elki.index.vafile.DAFile: Dimension of this approximation file.
DIMENSION_COMPARATOR - Static variable in class elki.data.Subspace: A comparator for subspaces based on their involved dimensions.
dimensionality - Variable in class elki.data.BitVector: Dimensionality of this bit vector.
dimensionality - Variable in class elki.data.projection.RandomProjection: Output dimensionality.
dimensionality - Variable in class elki.data.projection.RandomProjection.Par: Output dimensionality.
dimensionality - Variable in class elki.data.SparseByteVector: The dimensionality of this feature vector.
dimensionality - Variable in class elki.data.SparseDoubleVector: The dimensionality of this feature vector.
dimensionality - Variable in class elki.data.SparseFloatVector: The dimensionality of this feature vector.
dimensionality - Variable in class elki.data.SparseIntegerVector: The dimensionality of this feature vector.
dimensionality - Variable in class elki.data.SparseShortVector: The dimensionality of this feature vector.
dimensionality - Variable in class elki.data.Subspace: The dimensionality of this subspace.
dimensionality - Variable in class elki.datasource.filter.transform.PerturbationFilter: Stores the dimensionality from the preprocessing.
dimensionality - Variable in class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Dimensionality.
dimensionality - Variable in class elki.math.spacefillingcurves.ZCurveTransformer: Dimensionality.
dimensionality() - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Get the dimensionality of this unit.
dimensionality() - Method in class elki.data.Subspace: Returns the dimensionality of this subspace.
dimensionality() - Method in class elki.outlier.meta.HiCS.HiCSSubspace: Get the subspace dimensionality.
dimensionality(double[], double[]) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(double[], double[], int) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(double[], SpatialComparable) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(double[], SpatialComparable, int) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(NumberVector, NumberVector) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(NumberVector, NumberVector, int) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(SpatialComparable, SpatialComparable) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(SpatialComparable, SpatialComparable, int) - Static method in class elki.distance.AbstractNumberVectorDistance: Get the common dimensionality of the two objects.
dimensionality(DBIDRef) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Instance: Get the correlation dimensionality of a single object.
dimensionality(DBIDRef) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance: Get the correlation dimensionality of a single object.
dimensionality(Relation<?>) - Method in class elki.visualization.projector.ParallelPlotFactory
dimensionality(Relation<?>) - Method in class elki.visualization.projector.ScatterPlotFactory
dimensionality(Relation<? extends SpatialComparable>) - Static method in class elki.database.relation.RelationUtil: Get the dimensionality of a database relation.
dimensionality(Relation<ParameterizationFunction>) - Static method in class elki.clustering.correlation.CASH: Get the dimensionality of a vector field.
dimensionality(Relation<O>) - Method in class elki.outlier.lof.KDEOS: Ugly hack to allow using this implementation without having a well-defined dimensionality.
DIMENSIONALITY_ID - Static variable in class elki.data.projection.RandomProjection.Par: Parameter for the desired output dimensionality.
dimensionIsRelevant(int, Relation<? extends NumberVector>, DBIDs) - Method in class elki.clustering.subspace.DOC: Utility method to test if a given dimension is relevant as determined via a set of reference points (i.e. if the variance along the attribute is lower than the threshold).
DimensionModel - Class in elki.data.model: Cluster model additionally providing a cluster dimensionality.
DimensionModel(int) - Constructor for class elki.data.model.DimensionModel: Constructor
dimensions - Variable in class elki.clustering.subspace.P3C.ClusterCandidate: Selected dimensions
dimensions - Variable in class elki.clustering.subspace.PROCLUS.PROCLUSCluster: The correlated dimensions of this cluster.
dimensions - Variable in class elki.data.Subspace: The dimensions building this subspace.
dimensions - Variable in class elki.distance.subspace.AbstractDimensionsSelectingDistance: The dimensions to be considered for distance computation.
dimensions - Variable in class elki.distance.subspace.AbstractDimensionsSelectingDistance.Par: Bitmask of the dimensions
DimensionSelectingLatLngDistance - Class in elki.distance.geo: Distance function for 2D vectors in Latitude, Longitude form.
DimensionSelectingLatLngDistance(int, int, EarthModel) - Constructor for class elki.distance.geo.DimensionSelectingLatLngDistance: Constructor.
DimensionSelectingLatLngDistance.Par - Class in elki.distance.geo: Parameterization class.
DimensionSelectingSubspaceDistance<O> - Interface in elki.distance.subspace: Interface for dimension selecting subspace distance functions.
DimensionState() - Constructor for enum elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.DimensionState
dimensionsToString() - Method in class elki.data.Subspace: Returns a string representation of the dimensions of this subspace separated by comma.
dimensonsToString(String) - Method in class elki.data.Subspace: Returns a string representation of the dimensions of this subspace.
dimi - Variable in class elki.clustering.subspace.PROCLUS.DoubleIntInt
dimj - Variable in class elki.clustering.subspace.PROCLUS.DoubleIntInt
dimlat - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance: Latitude dimension.
dimlat - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance.Par: Latitude dimension.
dimlng - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance: Longitude dimension.
dimlng - Variable in class elki.distance.geo.DimensionSelectingLatLngDistance.Par: Longitude dimension.
dimOrder - Variable in class elki.visualization.projections.SimpleParallel: Ordering of dimensions
dims - Variable in class elki.clustering.subspace.clique.CLIQUEUnit: The dimensions involved in this subspace.
dims - Variable in class elki.data.projection.FeatureSelection: Dimensions to select.
dims - Variable in class elki.data.projection.FeatureSelection.Par: Dimensions to select.
dims - Variable in class elki.data.projection.NumericalFeatureSelection: Subspace.
dims - Variable in class elki.data.projection.NumericalFeatureSelection.Par: Dimensions to select.
dims - Variable in class elki.data.projection.random.RandomSubsetProjectionFamily.SubsetProjection: Input dimensions.
dims - Variable in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter: Selected dimensions.
dims - Variable in class elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Par: Dimensions to use.
dims - Variable in class elki.datasource.filter.typeconversions.UncertainSplitFilter: Data dimensionality.
dims - Variable in class elki.datasource.filter.typeconversions.UncertainSplitFilter.Par: Field to hold the dimensional constraint.
dims - Variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter: Data dimensionality.
dims - Variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par: Field to hold the dimensional constraint.
dims - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: The number of dimensions.
dims - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: The number of dimensions.
dims - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: The number of dimensions.
dims - Variable in class elki.math.linearalgebra.ProjectedCentroid: The selected dimensions.
DIMS_ID - Static variable in class elki.distance.subspace.AbstractDimensionsSelectingDistance.Par: Dimensions parameter.
dimStates - Variable in class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
dindex - Variable in class elki.visualization.parallel3d.Parallel3DRenderer: Depth indexes of axes.
DIR_STRATEGY_ID - Static variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par: Insertion strategy for directory nodes.
dirCapacity - Variable in class elki.index.tree.IndexTree: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
dirCapacity - Variable in class elki.index.tree.TreeIndexHeader: The capacity of a directory node (= 1 + maximum number of entries in a directory node).
DirClassIterator(File) - Constructor for class elki.utilities.ELKIServiceScanner.DirClassIterator: Constructor from Directory
Direction() - Constructor for enum elki.visualization.svg.SVGArrow.Direction
DirectoryEntry - Interface in elki.index.tree: Directory entry of an index.
dirMinimum - Variable in class elki.index.tree.IndexTree: The minimum number of entries in a directory node.
dirMinimum - Variable in class elki.index.tree.TreeIndexHeader: The minimum number of entries in a directory node.
dirStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy: Strategy when inserting into directory nodes
dirStrategy - Variable in class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par: Strategy when inserting into directory nodes
dirty - Variable in class elki.persistent.AbstractExternalizablePage: The dirty flag of this page.
disable - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores: Pattern for disabling (skipping) methods.
disable - Variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Pattern for disabling (skipping) methods.
DISABLE_ID - Static variable in class elki.application.greedyensemble.ComputeKNNOutlierScores.Par: Option ID for disabling methods.
disableInteractions - Variable in class elki.visualization.svg.SVGPlot: Flag whether Batik interactions should be disabled.
DisableQueryOptimizer - Class in elki.database.query: Dummy implementation to disable automatic optimization.
DisableQueryOptimizer() - Constructor for class elki.database.query.DisableQueryOptimizer: Constructor, use DisableQueryOptimizer.STATIC instead.
DisableQueryOptimizer.Par - Class in elki.database.query: Parameterization class.
disableStart() - Method in class elki.visualization.batikutil.DragableArea: Disable capturing of 'mousedown' events.
disableStop() - Method in class elki.visualization.batikutil.DragableArea: Disable capturing of 'mousemove' and 'mouseup' events.
discard(int) - Method in class elki.svm.qmatrix.CachedQMatrix: Discard a cache entry.
discarded - Variable in class elki.data.synthetic.bymodel.GeneratorSingleCluster: Discarded count
DiscardResultHandler - Class in elki.result: A dummy result handler that discards the actual result, for use in benchmarks.
DiscardResultHandler() - Constructor for class elki.result.DiscardResultHandler: Default constructor.
disconnect() - Method in class elki.parallel.ParallelCore: Disconnect to the executor.
DISCRETE_UNCERTAIN_OBJECT - Static variable in interface elki.data.uncertain.UncertainObject: Uncertain objects.
DiscreteUncertainObject - Interface in elki.data.uncertain: Interface for discrete uncertain objects, that are represented by a finite (possibly weighted) number of samples.
DiSH - Class in elki.clustering.subspace: Algorithm for detecting subspace hierarchies.
DiSH(double, int, DiSH.Strategy) - Constructor for class elki.clustering.subspace.DiSH: Constructor.
DiSH.DiSHClusterOrder - Class in elki.clustering.subspace: DiSH cluster order.
DiSH.Instance - Class in elki.clustering.subspace: OPTICS variant used by DiSH internally.
DiSH.Instance.Sorter - Class in elki.clustering.subspace: Sort new candidates by their distance, for determining the core size.
DiSH.Par - Class in elki.clustering.subspace: Parameterization class.
DiSH.Strategy - Enum in elki.clustering.subspace: Available strategies for determination of the preference vector.
DiSHClusterOrder(ArrayModifiableDBIDs, WritableDoubleDataStore, WritableDBIDDataStore, WritableIntegerDataStore, WritableDataStore<long[]>) - Constructor for class elki.clustering.subspace.DiSH.DiSHClusterOrder: Constructor.
DisjointCrossValidation - Class in elki.evaluation.classification.holdout: DisjointCrossValidation provides a set of partitions of a database to perform cross-validation.
DisjointCrossValidation(RandomFactory, int) - Constructor for class elki.evaluation.classification.holdout.DisjointCrossValidation: Constructor.
DisjointCrossValidation.Par - Class in elki.evaluation.classification.holdout: Parameterization class
DiskCacheBasedDoubleDistance - Class in elki.distance.external: Distance function that is based on double distances given by a distance matrix of an external binary matrix file.
DiskCacheBasedDoubleDistance(OnDiskUpperTriangleMatrix) - Constructor for class elki.distance.external.DiskCacheBasedDoubleDistance: Constructor.
DiskCacheBasedDoubleDistance(Path) - Constructor for class elki.distance.external.DiskCacheBasedDoubleDistance: Constructor.
DiskCacheBasedDoubleDistance.Par - Class in elki.distance.external: Parameterization class.
DiskCacheBasedFloatDistance - Class in elki.distance.external: Distance function that is based on float distances given by a distance matrix of an external binary matrix file.
DiskCacheBasedFloatDistance(OnDiskUpperTriangleMatrix) - Constructor for class elki.distance.external.DiskCacheBasedFloatDistance: Constructor.
DiskCacheBasedFloatDistance(Path) - Constructor for class elki.distance.external.DiskCacheBasedFloatDistance: Constructor.
DiskCacheBasedFloatDistance.Par - Class in elki.distance.external: Parameterization class.
DispatchingPanel(JComponent) - Constructor for class elki.gui.util.ParameterTable.DispatchingPanel: Constructor.
display(GLAutoDrawable) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
dispose() - Method in class elki.visualization.gui.detail.DetailView
dispose() - Method in class elki.visualization.gui.ResultWindow
dispose() - Method in class elki.visualization.gui.SelectionTableWindow
dispose() - Method in class elki.visualization.svg.SVGPlot: Clean up the plot.
dispose(GLAutoDrawable) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance
dissimilarityMatrix() - Method in class elki.math.linearalgebra.pca.PCAFilteredResult: Returns the dissimilarity matrix (M_czech) of this LocalPCA.
dist - Variable in class elki.clustering.biclustering.ChengAndChurch: Distribution to sample random replacement values from.
dist - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Current height.
dist - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par: Distance function to use for initial means
dist - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree: Distance function to use for initial means
dist - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par: Distance function to use for initial means
dist - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter: Distribution to generate replacement values with.
dist - Variable in class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par: Distribution to generate replacement values with.
dist - Variable in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Distance function to use.
dist - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform: Distance function to use.
dist - Variable in class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par: Distance function to use.
dist - Variable in class elki.datasource.filter.transform.HistogramJitterFilter: Random generator.
dist - Variable in class elki.index.tree.betula.CFTree: Cluster distance
dist - Variable in class elki.index.tree.betula.CFTree.Factory: BIRCH distance function to use
dist - Variable in class elki.index.tree.betula.CFTree.Factory.Par: BIRCH distance function to use
dist - Variable in class elki.index.tree.spatial.kd.PartialLPNormDistance: Inner distance.
dist - Variable in class elki.index.vafile.PartialVAFile.WorstCaseDistComparator
dist - Variable in class elki.outlier.COP: Type of distribution to assume for distances.
dist - Variable in class elki.outlier.COP.Par: Distance distributution assumption.
dist - Variable in class elki.utilities.scaling.outlier.COPOutlierScaling: Score distribution.
dist - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance: Drawing mode (distance) to use
DIST_ID - Static variable in class elki.outlier.COP.Par: Distribution assumption for distances.
distance - Variable in class elki.algorithm.DependencyDerivator: Distance function used.
distance - Variable in class elki.algorithm.DependencyDerivator.Par: The distance function to use.
distance - Variable in class elki.algorithm.KNNDistancesSampler: Distance function used.
distance - Variable in class elki.algorithm.KNNDistancesSampler.Par: The distance function to use.
distance - Variable in class elki.algorithm.KNNJoin: Distance function used.
distance - Variable in class elki.algorithm.KNNJoin.Par: The distance function to use.
distance - Variable in class elki.algorithm.statistics.AveragePrecisionAtK: Distance function used.
distance - Variable in class elki.algorithm.statistics.DistanceQuantileSampler: Distance function used.
distance - Variable in class elki.algorithm.statistics.DistanceQuantileSampler.Par: The distance function to use.
distance - Variable in class elki.algorithm.statistics.DistanceStatisticsWithClasses: Distance function used.
distance - Variable in class elki.algorithm.statistics.EvaluateRankingQuality: Distance function used.
distance - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Distance function used.
distance - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency: Distance function used.
distance - Variable in class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par: The distance function to use.
distance - Variable in class elki.algorithm.statistics.RankingQualityHistogram: Distance function used.
distance - Variable in class elki.application.AbstractDistanceBasedApplication: Distance function to use.
distance - Variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheDoubleDistanceKNNLists: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheDoubleDistanceKNNLists.Par: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Distance function that is to be cached.
distance - Variable in class elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Par: Distance function that is to be cached.
distance - Variable in class elki.application.cache.PrecomputeDistancesAsciiApplication: Distance function that is to be cached.
distance - Variable in class elki.application.cache.PrecomputeDistancesAsciiApplication.Par: Distance function that is to be cached.
distance - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Distance in use.
distance - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Distance in use.
distance - Variable in class elki.classification.KNNClassifier: Distance function
distance - Variable in class elki.clustering.affinitypropagation.DistanceBasedInitializationWithMedian: Distance function.
distance - Variable in class elki.clustering.CanopyPreClustering: Distance function used.
distance - Variable in class elki.clustering.CFSFDP: Distance function used.
distance - Variable in class elki.clustering.CFSFDP.Par: The distance function to use.
distance - Variable in class elki.clustering.dbscan.DBSCAN: Distance function used.
distance - Variable in class elki.clustering.dbscan.DBSCAN.Par: The distance function to use.
distance - Variable in class elki.clustering.dbscan.GriDBSCAN: Distance function used.
distance - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Distance function used.
distance - Variable in class elki.clustering.dbscan.LSDBC: Distance function used.
distance - Variable in class elki.clustering.dbscan.LSDBC.Par: The distance function to use.
distance - Variable in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate: Distance function to use.
distance - Variable in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate: Distance function to use
distance - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN: Distance function used.
distance - Variable in class elki.clustering.hierarchical.AGNES: Distance function used.
distance - Variable in class elki.clustering.hierarchical.birch.CFTree: Distance function to use.
distance - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory: BIRCH distance function to use
distance - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par: BIRCH distance function to use
distance - Variable in class elki.clustering.hierarchical.CLINK.Par: The distance function to use.
distance - Variable in class elki.clustering.hierarchical.HACAM: Distance to use
distance - Variable in class elki.clustering.hierarchical.MedoidLinkage: The distance function to use.
distance - Variable in class elki.clustering.hierarchical.MiniMax: Distance function used.
distance - Variable in class elki.clustering.hierarchical.SLINK: Distance function used.
distance - Variable in class elki.clustering.hierarchical.SLINK.Par: The distance function to use.
distance - Variable in class elki.clustering.kcenter.GreedyKCenter: Distance function
distance - Variable in class elki.clustering.kcenter.GreedyKCenter.Par: Distance function to use
distance - Variable in class elki.clustering.kmeans.AbstractKMeans: Distance function used.
distance - Variable in class elki.clustering.kmeans.AbstractKMeans.Par: The distance function to use.
distance - Variable in class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves: Distance function
distance - Variable in class elki.clustering.kmeans.initialization.KMC2.Instance: Distance function
distance - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance: Distance function
distance - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor: Distance function.
distance - Variable in class elki.clustering.kmeans.parallel.KMeansProcessor.Instance: Distance function.
distance - Variable in class elki.clustering.kmedoids.AlternatingKMedoids: Distance function used.
distance - Variable in class elki.clustering.kmedoids.AlternatingKMedoids.Par: The distance function to use.
distance - Variable in class elki.clustering.kmedoids.CLARANS: Distance function used.
distance - Variable in class elki.clustering.kmedoids.CLARANS.Par: The distance function to use.
distance - Variable in class elki.clustering.kmedoids.PAM: Distance function used.
distance - Variable in class elki.clustering.kmedoids.PAM.Par: The distance function to use.
distance - Variable in class elki.clustering.Leader: Distance function used.
distance - Variable in class elki.clustering.NaiveMeanShiftClustering: Distance function used.
distance - Variable in class elki.clustering.optics.AbstractOPTICS: Distance function used.
distance - Variable in class elki.clustering.optics.DeLiClu: Distance function used.
distance - Variable in class elki.clustering.optics.DeLiClu.Par: The distance function to use.
distance - Variable in class elki.clustering.optics.DeLiClu.SpatialObjectPair: The current distance.
distance - Variable in class elki.clustering.subspace.SUBCLU: The distance function to determine the distance between objects.
distance - Variable in class elki.clustering.subspace.SUBCLU.Par: The distance function to determine the distance between objects.
distance - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering: Distance function for clusterings.
distance - Variable in class elki.clustering.uncertain.RepresentativeUncertainClustering.Par: Distance (dissimilarity) for clusterinogs.
distance - Variable in class elki.database.query.QueryBuilder: Distance to query
distance - Variable in class elki.database.query.range.LinearScanPrimitiveDistanceRangeByObject: Distance query.
distance - Variable in class elki.evaluation.clustering.internal.CIndex: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.CIndex.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.ClusterRadius: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.ClusterRadius.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.DBCV: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.DBCV.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.PBMIndex: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.PBMIndex.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.Silhouette: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.Silhouette.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.SimplifiedSilhouette: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.SimplifiedSilhouette.Par: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.SquaredErrors: Distance function to use.
distance - Variable in class elki.evaluation.clustering.internal.SquaredErrors.Par: Distance function to use.
distance - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage: The distance function to use
distance - Variable in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par: The distance function to use
distance - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix: Nested distance function.
distance - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.Factory: Nested distance function.
distance - Variable in class elki.index.idistance.InMemoryIDistanceIndex.Factory: Distance function to use.
distance - Variable in class elki.index.laesa.LAESA: Distance function
distance - Variable in class elki.index.laesa.LAESA.Factory: Distance function
distance - Variable in class elki.index.laesa.LAESA.Factory.Par: Distance function
distance - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The distance function to be used.
distance - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory: Hold the distance function to be used.
distance - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor: Hold the distance function to be used.
distance - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Holds the instance of the trees distance function.
distance - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory: Holds the instance of the trees distance function.
distance - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par: Holds the instance of the trees distance function.
distance - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistanceEntry: The distance value belonging to the entry.
distance - Variable in class elki.index.tree.metrical.vptree.GNAT.Factory: Distance Function
distance - Variable in class elki.index.tree.metrical.vptree.GNAT.Factory.Par: Distance function
distance - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory: Distance Function
distance - Variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Distance function
distance - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreeKNNSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreeRangeSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeKNNSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeRangeSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreeKNNSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreeRangeSearcher: Distance to use.
distance - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Spatial primitive distance function.
distance - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNSearcher: Spatial primitive distance function.
distance - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeSearcher: Spatial primitive distance function
distance - Variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdkNNSettings: The distance function.
distance - Variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert: Distance function to use for measuring
distance - Variable in class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par: Distance function to use for measuring
distance - Variable in class elki.outlier.clustering.CBLOF: Distance function used.
distance - Variable in class elki.outlier.clustering.SilhouetteOutlierDetection: Distance function used.
distance - Variable in class elki.outlier.COP: Distance function used.
distance - Variable in class elki.outlier.COP.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.AbstractDBOutlier: Distance function used.
distance - Variable in class elki.outlier.distance.AbstractDBOutlier.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.HilOut: Distance function used.
distance - Variable in class elki.outlier.distance.KNNDD: Distance function used.
distance - Variable in class elki.outlier.distance.KNNDD.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.KNNOutlier: Distance function used.
distance - Variable in class elki.outlier.distance.KNNOutlier.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.KNNSOS: Distance function used.
distance - Variable in class elki.outlier.distance.KNNWeightOutlier: Distance function used.
distance - Variable in class elki.outlier.distance.KNNWeightOutlier.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.LocalIsolationCoefficient: Distance function used.
distance - Variable in class elki.outlier.distance.LocalIsolationCoefficient.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.ODIN: Distance function used.
distance - Variable in class elki.outlier.distance.parallel.ParallelKNNOutlier: Distance function used.
distance - Variable in class elki.outlier.distance.parallel.ParallelKNNWeightOutlier: Distance function used.
distance - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection: Distance function used.
distance - Variable in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par: The distance function to use.
distance - Variable in class elki.outlier.distance.SOS: Distance function used.
distance - Variable in class elki.outlier.DWOF: Distance function used.
distance - Variable in class elki.outlier.intrinsic.IDOS: Distance function used.
distance - Variable in class elki.outlier.intrinsic.IDOS.Par: The distance function to use.
distance - Variable in class elki.outlier.intrinsic.ISOS: Distance function used.
distance - Variable in class elki.outlier.intrinsic.LID: Distance function used.
distance - Variable in class elki.outlier.intrinsic.LID.Par: The distance function to use.
distance - Variable in class elki.outlier.lof.ALOCI: Distance function used.
distance - Variable in class elki.outlier.lof.ALOCI.Par: The distance function to use.
distance - Variable in class elki.outlier.lof.COF: Distance function used.
distance - Variable in class elki.outlier.lof.FlexibleLOF.Par: The distance function to use.
distance - Variable in class elki.outlier.lof.INFLO: Distance function used.
distance - Variable in class elki.outlier.lof.INFLO.Par: The distance function to use.
distance - Variable in class elki.outlier.lof.KDEOS: Distance function used.
distance - Variable in class elki.outlier.lof.LDF: Distance function used.
distance - Variable in class elki.outlier.lof.LDOF: Distance function used.
distance - Variable in class elki.outlier.lof.LDOF.Par: The distance function to use.
distance - Variable in class elki.outlier.lof.LOCI: Distance function used.
distance - Variable in class elki.outlier.lof.LOF: Distance function used.
distance - Variable in class elki.outlier.lof.parallel.ParallelLOF: Distance function used.
distance - Variable in class elki.outlier.lof.parallel.ParallelSimplifiedLOF: Distance function used.
distance - Variable in class elki.outlier.lof.SimpleKernelDensityLOF: Distance function used.
distance - Variable in class elki.outlier.lof.SimplifiedLOF: Distance function used.
distance - Variable in class elki.outlier.lof.VarianceOfVolume: Distance function used.
distance - Variable in class elki.outlier.OPTICSOF: Distance function used.
distance - Variable in class elki.outlier.OPTICSOF.Par: The distance function to use.
distance - Variable in class elki.outlier.SimpleCOP: Distance function used.
distance - Variable in class elki.outlier.SimpleCOP.Par: The distance function to use.
distance - Variable in class elki.outlier.spatial.CTLuGLSBackwardSearchAlgorithm: Distance function used.
distance - Variable in class elki.outlier.spatial.CTLuRandomWalkEC: Distance function used.
distance - Variable in class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory: distance function to use
distance - Variable in class elki.projection.GaussianAffinityMatrixBuilder: Input distance function.
distance - Variable in class elki.projection.GaussianAffinityMatrixBuilder.Par: The distance function to use.
distance - Variable in class elki.projection.PerplexityAffinityMatrixBuilder: Input distance function.
distance - Variable in class elki.projection.PerplexityAffinityMatrixBuilder.Par: The distance function to use.
distance - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: Distance
distance - Variable in class tutorial.clustering.CFSFDP: Distance function used.
distance - Variable in class tutorial.clustering.CFSFDP.Par: The distance function to use.
distance - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1: Distance function used.
distance - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2: Distance function used.
distance - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3: Distance function used.
distance - Variable in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4: Distance function used.
distance - Variable in class tutorial.clustering.SameSizeKMeans.Par: Distance function
distance - Variable in class tutorial.outlier.DistanceStddevOutlier: Distance function used.
distance - Variable in class tutorial.outlier.ODIN: Distance function used.
distance(double[][], int, int) - Method in class elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter
distance(double[], double[]) - Method in class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus: Calculates distance between two vectors.
distance(double[], double[]) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans: Compute a distance (and count the distance computations).
distance(double[], double[]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the squared distance (and count the distance computations).
distance(double[], double[]) - Method in class elki.clustering.kmeans.BetulaLloydKMeans: Updates statistics and calculates distance between two Objects based on selected criteria.
distance(double[], double[]) - Method in class elki.clustering.kmeans.FuzzyCMeans: Distance computation.
distance(double[], double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
distance(double[], double[]) - Method in class elki.distance.minkowski.SquaredEuclideanDistance: Special version for double arrays.
distance(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.CentroidLinkage
distance(double[], int, double[], int) - Method in interface elki.clustering.hierarchical.linkage.GeometricLinkage: Distance of two aggregated clusters.
distance(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.MedianLinkage
distance(double[], int, double[], int) - Method in class elki.clustering.hierarchical.linkage.WardLinkage
distance(double[], int, int) - Method in class elki.visualization.parallel3d.layout.AbstractLayout3DPC.LowerTriangularAdapter
distance(int, int) - Method in interface elki.distance.DBIDRangeDistance: Compute the distance for two integer offsets.
distance(int, int) - Method in class elki.distance.external.DiskCacheBasedDoubleDistance
distance(int, int) - Method in class elki.distance.external.DiskCacheBasedFloatDistance
distance(int, int) - Method in class elki.distance.external.FileBasedSparseDoubleDistance
distance(int, int) - Method in class elki.distance.external.FileBasedSparseFloatDistance
distance(Cluster<?>, Cluster<?>) - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
distance(Cluster<?>, Cluster<?>) - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
distance(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity
distance(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity
distance(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity
distance(Clustering<?>, Clustering<?>) - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity
distance(FeatureVector<?>, FeatureVector<?>) - Method in class elki.distance.set.HammingDistance
distance(FeatureVector<?>, FeatureVector<?>) - Method in class elki.distance.set.JaccardSimilarityDistance
distance(NumberVector, double[]) - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans: Compute a distance (and count the distance computations).
distance(NumberVector, double[]) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the squared distance (and count the distance computations).
distance(NumberVector, double[]) - Method in class elki.clustering.kmeans.BetulaLloydKMeans: Updates statistics and calculates distance between two Objects based on selected criteria.
distance(NumberVector, double[]) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
distance(NumberVector, NumberVector) - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Compute the squared distance (and count the distance computations).
distance(NumberVector, NumberVector) - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
distance(NumberVector, NumberVector) - Method in class elki.distance.ArcCosineDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.ArcCosineUnitlengthDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.BrayCurtisDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.CanberraDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.ClarkDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.colorhistogram.HistogramIntersectionDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.AbsolutePearsonCorrelationDistance: Computes the absolute Pearson correlation distance for two given feature vectors.
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.PearsonCorrelationDistance: Computes the Pearson correlation distance for two given feature vectors.
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.SquaredPearsonCorrelationDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.SquaredUncenteredCorrelationDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.UncenteredCorrelationDistance: Computes the Pearson correlation distance for two given feature vectors.
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.WeightedPearsonCorrelationDistance: Computes the Pearson correlation distance for two given feature vectors.
distance(NumberVector, NumberVector) - Method in class elki.distance.correlation.WeightedSquaredPearsonCorrelationDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.CosineDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.CosineUnitlengthDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.geo.DimensionSelectingLatLngDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.geo.LatLngDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.geo.LngLatDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.histogram.HistogramMatchDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.histogram.KolmogorovSmirnovDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.MahalanobisDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.MatrixWeightedQuadraticDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.EuclideanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.LPIntegerNormDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.LPNormDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.ManhattanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.MaximumDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.MinimumDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.WeightedLPNormDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.WeightedManhattanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.WeightedMaximumDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.minkowski.WeightedSquaredEuclideanDistance
distance(NumberVector, NumberVector) - Method in interface elki.distance.NumberVectorDistance: Computes the distance between two given vectors according to this distance function.
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.ChiDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.ChiSquaredDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.FisherRaoDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.HellingerDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.JeffreyDivergenceDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.JensenShannonDivergenceDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.TriangularDiscriminationDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.probabilistic.TriangularDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.set.HammingDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.set.JaccardSimilarityDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.SqrtCosineDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.SqrtCosineUnitlengthDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.subspace.OnedimensionalDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.subspace.SubspaceEuclideanDistance: Constructor.
distance(NumberVector, NumberVector) - Method in class elki.distance.subspace.SubspaceLPNormDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.subspace.SubspaceManhattanDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.subspace.SubspaceMaximumDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.timeseries.DerivativeDTWDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.timeseries.DTWDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.timeseries.EDRDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.timeseries.ERPDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.timeseries.LCSSDistance
distance(NumberVector, NumberVector) - Method in class elki.distance.WeightedCanberraDistance
distance(NumberVector, NumberVector) - Method in class elki.index.tree.spatial.kd.PartialEuclideanDistance
distance(NumberVector, NumberVector) - Method in class elki.index.tree.spatial.kd.PartialLPNormDistance
distance(NumberVector, NumberVector) - Method in class elki.index.tree.spatial.kd.PartialManhattanDistance
distance(NumberVector, NumberVector) - Method in class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance
distance(NumberVector, NumberVector) - Method in class elki.similarity.kernel.LinearKernel
distance(NumberVector, NumberVector) - Method in class elki.similarity.kernel.PolynomialKernel
distance(NumberVector, NumberVector) - Method in class elki.similarity.Kulczynski1Similarity
distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.MultiLPNorm
distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.TutorialDistance
distance(NumberVector, DBIDRef) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Compute the distance of two objects.
distance(NumberVector, DBIDRef) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance
distance(SparseNumberVector, SparseNumberVector) - Method in class elki.distance.minkowski.SparseEuclideanDistance
distance(SparseNumberVector, SparseNumberVector) - Method in class elki.distance.minkowski.SparseLPNormDistance
distance(SparseNumberVector, SparseNumberVector) - Method in class elki.distance.minkowski.SparseManhattanDistance
distance(SparseNumberVector, SparseNumberVector) - Method in class elki.distance.minkowski.SparseMaximumDistance
distance(SparseNumberVector, SparseNumberVector) - Method in class elki.distance.minkowski.SparseSquaredEuclideanDistance
distance(ArrayDBIDs, int, int) - Method in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
distance(DBIDRef, DBIDRef) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.MedoidsInstance
distance(DBIDRef, DBIDRef) - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class elki.database.query.distance.DBIDDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class elki.database.query.distance.DBIDRangeDistanceQuery
distance(DBIDRef, DBIDRef) - Method in interface elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class elki.database.query.distance.PrimitiveDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class elki.distance.AbstractDBIDRangeDistance
distance(DBIDRef, DBIDRef) - Method in class elki.distance.adapter.AbstractSimilarityAdapter.Instance
distance(DBIDRef, DBIDRef) - Method in interface elki.distance.DBIDDistance: Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class elki.distance.RandomStableDistance
distance(DBIDRef, DBIDRef) - Method in class elki.distance.SharedNearestNeighborJaccardDistance.Instance
distance(DBIDRef, DBIDRef) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree: Compute a distance (and count).
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the two specified ids.
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT: Compute a distance, and count.
distance(DBIDRef, DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree: Compute a distance, and count.
distance(DBIDRef, List<NumberVector>) - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Minimum distance to the current means.
distance(DBIDRef, List<NumberVector>) - Method in class elki.clustering.kmeans.initialization.SphericalAFKMC2.Instance
distance(DBIDRef, O) - Method in interface elki.database.query.distance.DatabaseDistanceQuery
distance(DBIDRef, O) - Method in interface elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, O) - Method in class elki.database.query.distance.PrimitiveDistanceQuery
distance(DBIDRef, V) - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
distance(E, E) - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Returns the distance between the routing object of two entries.
distance(String, String) - Method in class elki.distance.strings.LevenshteinDistance
distance(String, String) - Method in class elki.distance.strings.NormalizedLevenshteinDistance
distance(O, DBIDRef) - Method in interface elki.database.query.distance.DatabaseDistanceQuery
distance(O, DBIDRef) - Method in interface elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, DBIDRef) - Method in class elki.database.query.distance.PrimitiveDistanceQuery
distance(O, DBIDRef) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree: Compute a distance (and count).
distance(O, DBIDRef) - Method in class elki.index.tree.metrical.vptree.GNAT: Compute a distance, and count.
distance(O, DBIDRef) - Method in class elki.index.tree.metrical.vptree.VPTree: Compute a distance, and count.
distance(O, O) - Method in interface elki.database.query.distance.DatabaseDistanceQuery
distance(O, O) - Method in interface elki.database.query.distance.DistanceQuery: Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in class elki.database.query.distance.PrimitiveDistanceQuery
distance(O, O) - Method in interface elki.distance.PrimitiveDistance: Computes the distance between two given DatabaseObjects according to this distance function.
distance(O, O) - Method in interface elki.index.tree.spatial.kd.PartialDistance: Compute the actual distance of two objects.
distance(T, int, int) - Method in interface elki.math.geometry.PrimsMinimumSpanningTree.Adapter: Get the distance of two objects
distance(T, DBIDRef) - Method in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Compute the distance of two objects.
distance(V, double[]) - Method in class elki.clustering.kmeans.FuzzyCMeans: Distance computation.
distance(V, DBIDRef) - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
distance(V, V) - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
distance(V, V) - Method in class elki.distance.subspace.AbstractDimensionsSelectingDistance
Distance<O> - Interface in elki.distance: Base interface for any kind of distances.
Distance() - Constructor for enum elki.application.greedyensemble.GreedyEnsembleExperiment.Distance
DISTANCE - elki.outlier.clustering.KMeansOutlierDetection.Rule: Simple distance-based rule
DISTANCE_FUNCTION_ID - Static variable in class elki.Algorithm.Utils: OptionID for the distance function.
DISTANCE_FUNCTION_ID - Static variable in interface elki.clustering.kmeans.KMeans: OptionID for the distance function.
DISTANCE_FUNCTION_ID - Static variable in class elki.clustering.subspace.SUBCLU.Par: The distance function to determine the distance between objects.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.laesa.LAESA.Factory.Par: Distance function to use in the index
DISTANCE_FUNCTION_ID - Static variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory: Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par: Parameter to specify the distance function to determine the distance between database objects, must extend Distance.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par: Parameter to specify the distance function to determine the distance between database objects, must extend Distance.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.tree.metrical.vptree.GNAT.Factory.Par: Parameter to specify the distance function to determine the distance between database objects, must extend Distance.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.tree.metrical.vptree.VPTree.Factory.Par: Parameter to specify the distance function to determine the distance between database objects, must extend Distance.
DISTANCE_FUNCTION_ID - Static variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory: Parameter for distance function
DISTANCE_FUNCTION_ID - Static variable in class elki.similarity.InvertedDistanceSimilarity: Parameter to specify the similarity function to derive the distance between database objects from.
DISTANCE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceKNNLists.Par: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class elki.application.cache.CacheDoubleDistanceRangeQueries.Par: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class elki.application.cache.PrecomputeDistancesAsciiApplication.Par: Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Similarity measure
DISTANCE_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par: Distance function parameter.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.CIndex.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.ClusterRadius.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.DBCV.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.PBMIndex.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.Silhouette.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.evaluation.clustering.internal.SquaredErrors.Par: Parameter for choosing the distance function.
DISTANCE_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par: Distance function parameter.
DISTANCE_SINGLETONS - elki.outlier.clustering.KMeansOutlierDetection.Rule: Distance with singletons
DistanceBasedInitializationWithMedian<O> - Class in elki.clustering.affinitypropagation: Distance based initialization.
DistanceBasedInitializationWithMedian(Distance<? super O>, double) - Constructor for class elki.clustering.affinitypropagation.DistanceBasedInitializationWithMedian: Constructor.
DistanceBasedIntrinsicDimensionalityEstimator - Interface in elki.math.statistics.intrinsicdimensionality: Distance-based ID estimator.
distanceCalcs - Variable in class elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: For counting the number of distance computations.
distanceCalcs - Variable in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: For counting the number of distance computations.
distanceComputations - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Count the number of distance computations.
distanceDeg(double, double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
distanceDeg(double, double, double, double) - Method in interface elki.math.geodesy.EarthModel: Compute the geodetic distance between two surface coordinates.
DistanceDist() - Constructor for enum elki.outlier.COP.DistanceDist
DistanceEntry<E> - Class in elki.index.tree.metrical.mtreevariants.strategies.split.distribution: Helper class: encapsulates an entry in an Index and a distance value belonging to this entry.
DistanceEntry(E, double) - Constructor for class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistanceEntry: Constructs a new DistanceEntry object with the specified parameters.
distanceFunction - Variable in class elki.database.query.distance.DBIDDistanceQuery: The distance function we use.
distanceFunction - Variable in class elki.database.query.distance.DBIDRangeDistanceQuery: The distance function we use.
distanceFunction - Variable in class elki.database.query.distance.PrimitiveDistanceQuery: The distance function we use.
distanceFunction - Variable in class elki.database.query.distance.SpatialPrimitiveDistanceQuery: The distance function we use.
distanceFunction - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory: Hold the distance function to be used.
distanceFunction - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Par: Hold the distance function to be used.
distanceFunction - Variable in class elki.index.tree.metrical.mtreevariants.MTreeSettings: Holds the instance of the trees distance function.
distanceFunction - Variable in class elki.similarity.InvertedDistanceSimilarity: Holds the similarity function.
DISTANCEFUNCTION - Static variable in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
DistanceFunctionVisualization - Class in elki.visualization.visualizers.scatterplot.selection: Factory for visualizers to generate an SVG-Element containing dots as markers representing the kNN of the selected Database objects.
DistanceFunctionVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization: Constructor
DistanceFunctionVisualization.Instance - Class in elki.visualization.visualizers.scatterplot.selection: Instance, visualizing a particular set of kNNs
DistanceIndex<O> - Interface in elki.index: Index with support for distance queries (e.g., precomputed distance matrixes, caches)
DistanceParser - Interface in elki.distance.external: Parse distances from an input stream into a distance cache for storing.
DistanceParser.DistanceCacheWriter - Interface in elki.distance.external: Interface to plug in the cache storage into the parser.
DistancePriorityIndex<O> - Interface in elki.index: Interface for incremental priority-based search using distance functions.
DistanceQuantileSampler<O> - Class in elki.algorithm.statistics: Compute a quantile of a distance sample, useful for choosing parameters for algorithms.
DistanceQuantileSampler(Distance<? super O>, double, double, boolean, RandomFactory) - Constructor for class elki.algorithm.statistics.DistanceQuantileSampler: Constructor.
DistanceQuantileSampler.Par<O> - Class in elki.algorithm.statistics: Parameterization class
distanceQuery - Variable in class elki.database.query.distance.LinearScanEuclideanPrioritySearcher: Distance to use.
distanceQuery - Variable in class elki.database.query.distance.LinearScanPrioritySearcher: Distance to use.
distanceQuery - Variable in class elki.database.query.knn.LinearScanKNNByDBID: Hold the distance function to be used.
distanceQuery - Variable in class elki.database.query.knn.LinearScanKNNByObject: Hold the distance function to be used.
distanceQuery - Variable in class elki.database.query.range.LinearScanDistanceRangeByDBID: Distance to use.
distanceQuery - Variable in class elki.database.query.range.LinearScanDistanceRangeByObject: Distance to use.
distanceQuery - Variable in class elki.database.query.rknn.LinearScanRKNNByDBID: Hold the distance function to be used.
distanceQuery - Variable in class elki.database.query.rknn.LinearScanRKNNByObject: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.AbstractRefiningIndex.AbstractRefiningQuery: Distance query.
distanceQuery - Variable in class elki.index.idistance.InMemoryIDistanceIndex: Distance query.
distanceQuery - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: The distance query we used.
distanceQuery - Variable in class elki.index.projected.ProjectedIndex.ProjectedRangeByDBID: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.projected.ProjectedIndex.ProjectedRangeByObject: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Distance query, on the data relation.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree: Distance query to use.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex: The distance query.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery: Distance query
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByDBID: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeKNNByObject: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByDBID: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByObject: Hold the distance function to be used.
distanceQuery - Variable in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: The distance function.
distanceQuery() - Method in class elki.database.query.QueryBuilder: Build a distance query.
DistanceQuery<O> - Interface in elki.database.query.distance: A distance query serves as adapter layer for database and primitive distances.
distanceRad(double, double, double, double) - Method in class elki.math.geodesy.AbstractEarthModel
distanceRad(double, double, double, double) - Method in interface elki.math.geodesy.EarthModel: Compute the geodetic distance between two surface coordinates.
distanceRad(double, double, double, double) - Method in class elki.math.geodesy.SphericalCosineEarthModel
distanceRad(double, double, double, double) - Method in class elki.math.geodesy.SphericalHaversineEarthModel
distanceRad(double, double, double, double) - Method in class elki.math.geodesy.SphericalVincentyEarthModel
DistanceResultAdapter - Class in elki.evaluation.scores.adapter: This adapter is used to process a list of (double, DBID) objects.
DistanceResultAdapter(DBIDs, DoubleDBIDListIter, int) - Constructor for class elki.evaluation.scores.adapter.DistanceResultAdapter: Constructor
distances - Variable in class elki.clustering.hierarchical.ClusterMergeHistory: Distance to the parent object.
distanceScoring(Clustering<?>, Relation<O>, NumberVectorDistance<? super O>, WritableDoubleDataStore, DoubleMinMax) - Method in class elki.outlier.clustering.KMeansOutlierDetection: Simple distance-based scoring function.
DistanceSimilarityQuery<O> - Interface in elki.database.query: Interface that is a combination of distance and a similarity function.
DistanceStatisticsWithClasses<O> - Class in elki.algorithm.statistics: Algorithm to gather statistics over the distance distribution in the data set.
DistanceStatisticsWithClasses(Distance<? super O>, int, boolean, boolean) - Constructor for class elki.algorithm.statistics.DistanceStatisticsWithClasses: Constructor.
DistanceStddevOutlier<O> - Class in tutorial.outlier: A simple outlier detection algorithm that computes the standard deviation of the kNN distances.
DistanceStddevOutlier(Distance<? super O>, int) - Constructor for class tutorial.outlier.DistanceStddevOutlier: Constructor.
distanceSum(DistanceQuery<?>, DBIDIter, DBIDs, double, double) - Static method in class elki.clustering.hierarchical.HACAM.Instance: Find the maximum distance of one object to a set.
distcalc - Variable in class elki.index.tree.spatial.kd.MemoryKDTree: Counter for distance computations.
distcalc - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree: Counter for distance computations.
distcalc - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree: Counter for distance computations.
distComputations - Variable in class elki.index.tree.metrical.covertree.AbstractCoverTree: Distance computations performed.
distComputations - Variable in class elki.index.tree.metrical.vptree.GNAT: Counter for distance computations.
distComputations - Variable in class elki.index.tree.metrical.vptree.VPTree: Counter for distance computations.
distFunc - Variable in class elki.index.tree.metrical.vptree.GNAT: Distance Function to use
distFunc - Variable in class elki.index.tree.metrical.vptree.VPTree: Distance Function to use
distq - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: Distance query for exact distances.
distq - Variable in class elki.index.laesa.LAESA: Distance query, bound to the relation
distq - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.NaiveProjectedKNNQuery: Distance query to use for refinement
distq - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.SpaceFillingKNNQuery: Distance query to use for refinement
distq - Variable in class elki.index.projected.ProjectedIndex.ProjectedKNNByDBID: Distance query for refinement.
distq - Variable in class elki.index.projected.ProjectedIndex.ProjectedKNNByObject: Distance query for refinement.
distq - Variable in class elki.index.projected.ProjectedIndex.ProjectedRKNNByDBID: Distance query for refinement.
distq - Variable in class elki.index.projected.ProjectedIndex.ProjectedRKNNByObject: Distance query for refinement.
distq - Variable in class elki.outlier.distance.HilOut: Distance query
distQ - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.MedoidsInstance: Distance query
distQ - Variable in class elki.clustering.kmedoids.CLARANS.Assignment: Distance function to use.
distQ - Variable in class elki.clustering.kmedoids.PAM.Instance: Distance function to use.
distQ - Variable in class elki.clustering.kmedoids.SingleAssignmentKMedoids.Instance: Distance function to use.
distQ - Variable in class elki.clustering.silhouette.FastMSC.Instance: Distance function to use.
distQ - Variable in class elki.clustering.silhouette.FastMSC.Instance2: Distance function to use.
distQ - Variable in class elki.clustering.silhouette.PAMSIL.Instance: Distance function to use.
distQuery - Variable in class elki.database.query.QueryBuilder: Bound distance to query
distQuery - Variable in class elki.index.tree.metrical.vptree.GNAT: Actual distance query on the Data
distQuery - Variable in class elki.index.tree.metrical.vptree.VPTree: Actual distance query on the Data
distribute(AbstractNode<E>, int, double[], int, double[]) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.BalancedDistribution
distribute(AbstractNode<E>, int, double[], int, double[]) - Method in interface elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistributionStrategy: Creates a balanced partition of the entries of the specified node.
distribute(AbstractNode<E>, int, double[], int, double[]) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.FarthestBalancedDistribution
distribute(AbstractNode<E>, int, double[], int, double[]) - Method in class elki.index.tree.metrical.mtreevariants.strategies.split.distribution.GeneralizedHyperplaneDistribution
distribution - Variable in class elki.classification.PriorProbabilityClassifier: Holds the prior probabilities.
Distribution - Interface in elki.math.statistics.distribution: Statistical distributions, with their common functions.
Distribution.Parameterizer - Interface in elki.math.statistics.distribution: Common distributions parameters.
DistributionEstimator<D extends Distribution> - Interface in elki.math.statistics.distribution.estimator: Estimate distribution parameters from a sample.
DISTRIBUTIONS_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par: Parameter for distribution estimators.
DISTRIBUTIONS_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Par: Parameter for distribution estimators.
DistributionStrategy - Interface in elki.index.tree.metrical.mtreevariants.strategies.split.distribution: M-tree entry distribution strategies.
distributor - Variable in class elki.index.tree.metrical.mtreevariants.strategies.split.AbstractMTreeSplit: Entry distribution strategy.
dists - Variable in class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Distance values
dists - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization: Stores the estimated distributions
dists - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Sorted distances
dists - Variable in class elki.index.laesa.LAESA: Data storage for precomputed distances to reference points.
dists - Variable in class tutorial.clustering.SameSizeKMeans.Meta: Distance to the cluster centers.
diststat - Variable in class elki.clustering.kmeans.AbstractKMeans.Instance: Number of distance computations
diststat - Variable in class elki.clustering.kmeans.BetulaLloydKMeans: Number of distance caclulations
diststat - Variable in class elki.clustering.kmeans.initialization.KMC2.Instance: Count the number of distance computations.
diststat - Variable in class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance: Count the number of distance computations.
diststat - Variable in class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Instance: Count the number of distance computations.
diststat - Variable in class elki.index.tree.betula.CFTree: Number of distance calculations
distToScale(double) - Method in class elki.index.tree.metrical.covertree.AbstractCoverTree: Convert a distance to an upper scaling bound.
DIV - Static variable in class elki.data.uncertain.SimpleGaussianContinuousUncertainObject: Scaling factor from bounding box width to standard deviations.
divide(int[], double[], ArrayList<int[]>, int, int, int) - Method in class elki.math.statistics.dependence.MaximumConditionalEntropy: Recursive call to further subdivide the array.
dm0 - Variable in class elki.clustering.silhouette.FastMSC.Instance2: Distances to the first medoid.
dm1 - Variable in class elki.clustering.silhouette.FastMSC.Instance2: Distances to the second medoid.
dmax - Variable in class elki.visualization.projector.HistogramProjector: Database dimensionality.
dmax - Variable in class elki.visualization.projector.ScatterPlotProjector: Database dimensionality.
dmin - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Minimum height (densest object).
dnum - Variable in class elki.visualization.projections.Simple1D: Our dimension, starting with 0
do_shrinking() - Method in class elki.svm.solver.NuSolver
do_shrinking() - Method in class elki.svm.solver.Solver
DOC - Class in elki.clustering.subspace: DOC is a sampling based subspace clustering algorithm.
DOC(double, double, double, RandomFactory) - Constructor for class elki.clustering.subspace.DOC: Constructor.
DOC.Par - Class in elki.clustering.subspace: Parameterization class.
document - Variable in class elki.visualization.svg.SVGPlot: SVG document we plot to.
DOCUMENT_OPEN - Static variable in class elki.gui.icons.StockIcon
DOCUMENT_PROPERTIES - Static variable in class elki.gui.icons.StockIcon
DOCUMENT_SAVE - Static variable in class elki.gui.icons.StockIcon
doDelete(DBIDRef) - Method in class elki.database.HashmapDatabase: Removes the object with the specified id from this database.
doDetermineNextIntervalAtMaxLevel(ObjectHeap<CASHInterval>) - Method in class elki.clustering.correlation.CASH: Recursive helper method to determine the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects
doExtraIntegrityChecks() - Method in class elki.index.tree.metrical.mtreevariants.AbstractMTree: Perform additional integrity checks.
doExtraIntegrityChecks() - Method in class elki.index.tree.spatial.rstarvariants.AbstractRStarTree: Perform additional integrity checks.
dof - Variable in class elki.math.statistics.distribution.ChiDistribution: Degrees of freedom.
dof - Variable in class elki.math.statistics.distribution.ChiDistribution.Par: Parameters.
dof - Variable in class elki.math.statistics.distribution.ChiSquaredDistribution.Par: Parameters.
DOF_ID - Static variable in class elki.math.statistics.distribution.ChiDistribution.Par: Degrees of freedom parameter - same as ChiSquaredDistribution.Par.DOF_ID.
DOF_ID - Static variable in class elki.math.statistics.distribution.ChiSquaredDistribution.Par: Degrees of freedom parameter.
dofit - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Which parameters to fit
domain - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Value domain.
DOMCloner - Class in elki.utilities.xml: Class for cloning XML document, with filter capabilites
DOMCloner() - Constructor for class elki.utilities.xml.DOMCloner
doNotify(Consumer<ResultListener>) - Method in class elki.result.Metadata: Notify, also via all parent listeners.
DONT_CARE - Static variable in class elki.outlier.subspace.AbstractAggarwalYuOutlier: Symbolic value for subspaces not in use.
doRangeQuery(DBID, AbstractMTreeNode<O, ?, ?>, DBIDRef, double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByDBID: Performs a range query on the specified subtree.
doRangeQuery(DBID, AbstractMTreeNode<O, ?, ?>, O, double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.mtreevariants.query.MTreeRangeByObject: Performs a range query on the specified subtree.
doReverseKNN(RdKNNNode, DBID, ModifiableDoubleDBIDList) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs a reverse knn query in the specified subtree.
doReverseKNNQuery(int, DBIDRef, ModifiableDoubleDBIDList, ModifiableDBIDs) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Performs a reverse knn query.
doReverseKNNQuery(int, DBIDRef, MkTabEntry, MkTabTreeNode<O>, ModifiableDoubleDBIDList) - Method in class 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.
doReverseKNNQuery(DBIDRef, MkMaxTreeNode<O>, MkMaxEntry, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Performs a reverse k-nearest neighbor query in the specified subtree for the given query object with k = AbstractMkTreeUnified.getKmax().
doRun(Relation<ParameterizationFunction>, FiniteProgress) - Method in class elki.clustering.correlation.CASH: Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.
doRunInTime(DBIDs, KNNSearcher<DBIDRef>, KNNSearcher<DBIDRef>, StepProgress) - Method in class elki.outlier.lof.FlexibleLOF: Performs the Generalized LOF_SCORE algorithm on the given database and returns a FlexibleLOF.LOFResult encapsulating information that may be needed by an OnlineLOF algorithm.
doSearch() - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Start the search.
doSearch() - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Start the search.
doSearch() - Method in class elki.index.tree.metrical.vptree.GNAT.GNATPrioritySearcher: Start the next search.
doSearch() - Method in class elki.index.tree.metrical.vptree.VPTree.VPTreePrioritySearcher: Start the search.
doSearch(double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeRangeSearcher: Perform the actual search.
doSearch(double, ModifiableDoubleDBIDList) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeSearcher: Perform the actual search.
doSearch(int) - Method in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNSearcher: Do the main search
doSearch(int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNSearcher: Do the main search
doSetParameters(List<String>) - Method in class elki.gui.minigui.MiniGUI: Do the actual setParameters invocation.
doSwap(ArrayDBIDs, int, DBIDRef) - Method in class elki.clustering.silhouette.FastMSC.Instance: Assign each object to the nearest cluster when replacing one medoid.
doSwap(ArrayDBIDs, int, DBIDRef) - Method in class elki.clustering.silhouette.FastMSC.Instance2: Assign each object to the nearest cluster when replacing one medoid.
dot(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Returns the dot product (scalar product) of two vectors, v1·v2 = v1^T v2.
dot(NumberVector, double[]) - Static method in class elki.data.VectorUtil: Compute the dot product of the angle between two vectors.
dot(NumberVector, NumberVector) - Static method in class elki.data.VectorUtil: Compute the dot product of the angle between two vectors.
dotcolor - Variable in class elki.visualization.style.lines.DashedLineStyleLibrary: Color of "uncolored" dots
dotcolor - Variable in class elki.visualization.style.lines.SolidLineStyleLibrary: Color of "uncolored" dots
dotcolor - Variable in class elki.visualization.style.marker.CircleMarkers: Color of "uncolored" dots
dotcolor - Variable in class elki.visualization.style.marker.MinimalMarkers: Color of "uncolored" dots
dotcolor - Variable in class elki.visualization.style.marker.PrettyMarkers: Color of "uncolored" dots
dotDense(NumberVector, double[]) - Static method in class elki.data.VectorUtil: Compute the dot product of two dense vectors.
dotDense(NumberVector, NumberVector) - Static method in class elki.data.VectorUtil: Compute the dot product of two dense vectors.
doThumbnail() - Method in interface elki.visualization.visualizers.thumbs.ThumbnailThread.Listener: Callback when to (re-)compute the thumbnail.
doThumbnail() - Method in class elki.visualization.visualizers.thumbs.ThumbnailVisualization
DOTMARKER - Static variable in class elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance: Generic tag to indicate the type of element.
DOTPLOT - Static variable in interface elki.visualization.style.StyleLibrary: Dot size
dotSparse(SparseNumberVector, SparseNumberVector) - Static method in class elki.data.VectorUtil: Compute the dot product for two sparse vectors.
dotSparseDense(SparseNumberVector, double[]) - Static method in class elki.data.VectorUtil: Compute the dot product for a sparse and a dense vector.
dotSparseDense(SparseNumberVector, NumberVector) - Static method in class elki.data.VectorUtil: Compute the dot product for a sparse and a dense vector.
dotTableModel - Variable in class elki.visualization.gui.SelectionTableWindow: The table model
DOUBLE - Static variable in class elki.data.type.TypeUtil: Double type, outlier scores etc.
DOUBLE_ADAPTER - Static variable in class elki.utilities.datastructures.QuickSelect: Adapter for double arrays.
DOUBLE_ARRAY - Static variable in class elki.data.type.TypeUtil: Double array objects (do not use for input data points).
DOUBLE_CACHE_MAGIC - Static variable in class elki.distance.external.DiskCacheBasedDoubleDistance: Magic to identify double cache matrices
DOUBLE_NULL - Static variable in class elki.distance.set.AbstractSetDistance: Constants for checking null.
DOUBLE_SERIALIZER - Static variable in class elki.utilities.io.ByteArrayUtil: Static instance.
DOUBLE_VECTOR_FIELD - Static variable in class elki.data.type.TypeUtil: Input type for algorithms that require number vector fields.
DOUBLE0 - Static variable in class elki.data.SparseDoubleVector: Constant, for use in (inefficient) SparseDoubleVector.getValue(int) API.
DoubleArray - Class in elki.utilities.datastructures.arraylike: Array of double values (primitive, avoiding the boxing overhead of ArrayList).
DoubleArray() - Constructor for class elki.utilities.datastructures.arraylike.DoubleArray: Constructor.
DoubleArray(int) - Constructor for class elki.utilities.datastructures.arraylike.DoubleArray: Constructor.
DoubleArray(DoubleArray) - Constructor for class elki.utilities.datastructures.arraylike.DoubleArray: Constructor from an existing array.
DoubleArrayAdapter - Class in elki.utilities.datastructures.arraylike: Use a double[] in the ArrayAdapter API.
DoubleArrayAdapter() - Constructor for class elki.utilities.datastructures.arraylike.DoubleArrayAdapter: Private constructor - use the static instance in DoubleArrayAdapter.STATIC!
DOUBLEARRAYADAPTER - Static variable in class elki.utilities.datastructures.arraylike.ArrayLikeUtil: Use a double array in the array API.
DoubleArrayListParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of vectors.
DoubleArrayListParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.DoubleArrayListParameter: Constructs a vector list parameter with the given name and description.
DoubleArrayListParameter(OptionID, ParameterConstraint<List<double[]>>) - Constructor for class elki.utilities.optionhandling.parameters.DoubleArrayListParameter: Constructs a vector list parameter with the given name and description.
DoubleArrayListParameter(OptionID, ParameterConstraint<List<double[]>>, List<double[]>) - Constructor for class elki.utilities.optionhandling.parameters.DoubleArrayListParameter: Constructs a vector list parameter with the given name and description.
DoubleArrayListParameter(OptionID, List<double[]>) - Constructor for class elki.utilities.optionhandling.parameters.DoubleArrayListParameter: Constructs a vector list parameter with the given name and description.
doubleCenterMatrix(double[], int) - Static method in class elki.math.statistics.dependence.DCor: Computes the distance variance matrix of one axis.
doubleCenterSymmetric(double[][]) - Static method in class elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform: Double-center the given matrix (only upper triangle is used).
DoubleDataStore - Interface in elki.database.datastore: Double-valued data store (avoids boxing/unboxing).
DoubleDBIDHeap - Interface in elki.database.ids: Max heap for DBIDs.
DoubleDBIDIter - Interface in elki.database.ids: Iterator over Double+DBID pairs results.
DoubleDBIDList - Interface in elki.database.ids: Collection of double values associated with objects.
DoubleDBIDList.Consumer - Interface in elki.database.ids: Consumer for (DBIDRef, double) pairs.
DoubleDBIDListIter - Interface in elki.database.ids: Iterator over Double+DBID pairs results.
DoubleDBIDListMIter - Interface in elki.database.ids: Modifiable DBIDList iterator.
DoubleDBIDPair - Interface in elki.database.ids: Pair of a double value and a DBID.
DoubleDoublePair - Class in elki.utilities.pairs: Pair storing two doubles.
DoubleDoublePair(double, double) - Constructor for class elki.utilities.pairs.DoubleDoublePair: Constructor
DoubleDoublePair(DoubleDoublePair) - Constructor for class elki.utilities.pairs.DoubleDoublePair: Clone constructor.
DoubleDynamicHistogram - Class in elki.utilities.datastructures.histogram: A flexible histogram storing double, that can dynamically adapt the number of bins to the data fed into the histogram.
DoubleDynamicHistogram(int) - Constructor for class elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Constructor.
DoubleHeap - Interface in elki.utilities.datastructures.heap: Basic in-memory heap for double values.
DoubleHeap.UnsortedIter - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleHistogram - Class in elki.utilities.datastructures.histogram: Histogram class storing double values.
DoubleHistogram(int, double, double) - Constructor for class elki.utilities.datastructures.histogram.DoubleHistogram: Constructor.
DoubleHistogram.Iter - Class in elki.utilities.datastructures.histogram: Iterator class.
DoubleIntArrayList(int) - Constructor for class elki.outlier.lof.LOCI.DoubleIntArrayList: Constructor.
DoubleIntegerArrayQuickSort - Class in elki.utilities.datastructures.arrays: Class to sort a double and an integer DBID array, using a quicksort with a best of 5 heuristic.
DoubleIntegerArrayQuickSort() - Constructor for class elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort: Private constructor.
DoubleIntegerDBIDArrayList - Class in elki.database.ids.integer: Class to store double distance, integer DBID results.
DoubleIntegerDBIDArrayList() - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Constructor.
DoubleIntegerDBIDArrayList(int) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDArrayList: Constructor.
DoubleIntegerDBIDArrayList.Itr - Class in elki.database.ids.integer: List iterator.
DoubleIntegerDBIDHeap - Class in elki.database.ids.integer: Wrapper around a primitive heap to handle DBIDs.
DoubleIntegerDBIDHeap(DoubleIntegerHeap) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDHeap: Constructor.
DoubleIntegerDBIDHeap.UnorderedIter - Class in elki.database.ids.integer: Iterate over all objects in the heap, not ordered.
DoubleIntegerDBIDKNNHeap - Class in elki.database.ids.integer: Class to efficiently manage a kNN heap.
DoubleIntegerDBIDKNNHeap(int) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap: Constructor.
DoubleIntegerDBIDKNNHeap.UnorderedIter - Class in elki.database.ids.integer: Iterate over all objects in the heap, not ordered.
DoubleIntegerDBIDKNNList - Class in elki.database.ids.integer: kNN list, but without automatic sorting.
DoubleIntegerDBIDKNNList() - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDKNNList: Constructor.
DoubleIntegerDBIDKNNList(int, int) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDKNNList: Constructor.
DoubleIntegerDBIDList - Interface in elki.database.ids.integer: Interface to store double distance, integer DBID results.
DoubleIntegerDBIDListIter - Interface in elki.database.ids.integer: Combination interface of the DoubleDBIDListIter with IntegerDBIDIter.
DoubleIntegerDBIDListMIter - Interface in elki.database.ids.integer: Combination interface for modifiable iterators.
DoubleIntegerDBIDPair - Class in elki.database.ids.integer: Pair containing a double value and an integer DBID.
DoubleIntegerDBIDPair(double, int) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDPair: Constructor.
DoubleIntegerDBIDSubList - Class in elki.database.ids.integer: Sublist of an existing result to contain only some of the elements.
DoubleIntegerDBIDSubList(DoubleIntegerDBIDList, int, int) - Constructor for class elki.database.ids.integer.DoubleIntegerDBIDSubList: Constructor.
DoubleIntegerDBIDSubList.Itr - Class in elki.database.ids.integer: Iterator for the sublist.
DoubleIntegerHeap - Interface in elki.utilities.datastructures.heap: Basic in-memory heap interface, for double keys and int values.
DoubleIntegerHeap.UnsortedIter - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleIntegerMaxHeap - Class in elki.utilities.datastructures.heap: Binary heap for double keys and int values.
DoubleIntegerMaxHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Constructor, with default size.
DoubleIntegerMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap: Constructor, with given minimum size.
DoubleIntegerMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleIntegerMinHeap - Class in elki.utilities.datastructures.heap: Binary heap for double keys and int values.
DoubleIntegerMinHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Constructor, with default size.
DoubleIntegerMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleIntegerMinHeap: Constructor, with given minimum size.
DoubleIntegerMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleIntInt(double, int, int) - Constructor for class elki.clustering.subspace.PROCLUS.DoubleIntInt
DoubleIntPair - Class in elki.utilities.pairs: Pair storing an integer and a double.
DoubleIntPair(double, int) - Constructor for class elki.utilities.pairs.DoubleIntPair: Constructor
DoubleListParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a list of double values.
DoubleListParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.DoubleListParameter: Constructs a list parameter with the given optionID.
DoubleLongHeap - Interface in elki.utilities.datastructures.heap: Basic in-memory heap interface, for double keys and long values.
DoubleLongHeap.UnsortedIter - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleLongMaxHeap - Class in elki.utilities.datastructures.heap: Binary heap for double keys and long values.
DoubleLongMaxHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Constructor, with default size.
DoubleLongMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleLongMaxHeap: Constructor, with given minimum size.
DoubleLongMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleLongMinHeap - Class in elki.utilities.datastructures.heap: Binary heap for double keys and long values.
DoubleLongMinHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleLongMinHeap: Constructor, with default size.
DoubleLongMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleLongMinHeap: Constructor, with given minimum size.
DoubleLongMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleMaxHeap - Class in elki.utilities.datastructures.heap: Binary heap for primitive types.
DoubleMaxHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleMaxHeap: Constructor, with default size.
DoubleMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleMaxHeap: Constructor, with given minimum size.
DoubleMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleMinHeap - Class in elki.utilities.datastructures.heap: Binary heap for primitive types.
DoubleMinHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleMinHeap: Constructor, with default size.
DoubleMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleMinHeap: Constructor, with given minimum size.
DoubleMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleMinMax - Class in elki.math: Class to find the minimum and maximum double values in data.
DoubleMinMax() - Constructor for class elki.math.DoubleMinMax: Constructor without starting values.
DoubleMinMax(double, double) - Constructor for class elki.math.DoubleMinMax: Constructor with predefined minimum and maximum values.
DoubleMinMaxProcessor - Class in elki.parallel.processor: Sink collecting minimum and maximum values.
DoubleMinMaxProcessor() - Constructor for class elki.parallel.processor.DoubleMinMaxProcessor: Constructor.
DoubleMinMaxProcessor.Instance - Class in elki.parallel.processor: Instance for a particular sub-channel / part of the data set.
DoubleObjectHeap<V> - Interface in elki.utilities.datastructures.heap: Basic in-memory heap interface, for double keys and Object values.
DoubleObjectHeap.UnsortedIter<V> - Interface in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleObjectMaxHeap<V> - Class in elki.utilities.datastructures.heap: Binary heap for double keys and Object values.
DoubleObjectMaxHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Constructor, with default size.
DoubleObjectMaxHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMaxHeap: Constructor, with given minimum size.
DoubleObjectMaxHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleObjectMinHeap<V> - Class in elki.utilities.datastructures.heap: Binary heap for double keys and Object values.
DoubleObjectMinHeap() - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Constructor, with default size.
DoubleObjectMinHeap(int) - Constructor for class elki.utilities.datastructures.heap.DoubleObjectMinHeap: Constructor, with given minimum size.
DoubleObjectMinHeap.UnsortedIter - Class in elki.utilities.datastructures.heap: Unsorted iterator - in heap order.
DoubleObjPair<O> - Class in elki.utilities.pairs: Pair storing a native double value and an arbitrary object.
DoubleObjPair(double, O) - Constructor for class elki.utilities.pairs.DoubleObjPair: Constructor.
DoubleParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a double value.
DoubleParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID.
DoubleParameter(OptionID, double) - Constructor for class elki.utilities.optionhandling.parameters.DoubleParameter: Constructs a double parameter with the given optionID and default value.
DoubleRelation - Interface in elki.database.relation: Interface for double-valued relations.
DoubleRelation.Consumer - Interface in elki.database.relation: Consumer for (DBIDRef, double) pairs.
DoubleSerializer() - Constructor for class elki.utilities.io.ByteArrayUtil.DoubleSerializer: Constructor.
DoubleStatistic - Class in elki.logging.statistics: Trivial double-valued statistic.
DoubleStatistic(String) - Constructor for class elki.logging.statistics.DoubleStatistic: Constructor.
DoubleStatistic(String, double) - Constructor for class elki.logging.statistics.DoubleStatistic: Constructor.
doubleValue() - Method in class elki.data.Bit
doubleValue() - Method in interface elki.database.ids.DoubleDBIDIter: Get the double value
doubleValue() - Method in interface elki.database.ids.DoubleDBIDPair: Get the double value of the pair.
doubleValue() - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr
doubleValue() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap.UnorderedIter
doubleValue() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter
doubleValue() - Method in class elki.database.ids.integer.DoubleIntegerDBIDPair
doubleValue() - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList.Itr
doubleValue() - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
doubleValue() - Method in class elki.parallel.variables.SharedDouble.Instance: Get the variables value.
doubleValue() - Method in class elki.utilities.optionhandling.parameters.DoubleParameter: Get the parameter value as double.
doubleValue(int) - Method in class elki.data.BitVector
doubleValue(int) - Method in class elki.data.ByteVector
doubleValue(int) - Method in class elki.data.DoubleVector
doubleValue(int) - Method in class elki.data.FloatVector
doubleValue(int) - Method in class elki.data.IntegerVector
doubleValue(int) - Method in interface elki.data.NumberVector: Returns the value in the specified dimension as double.
doubleValue(int) - Method in class elki.data.OneDimensionalDoubleVector
doubleValue(int) - Method in class elki.data.ShortVector
doubleValue(int) - Method in class elki.data.SparseByteVector: Deprecated.
doubleValue(int) - Method in class elki.data.SparseDoubleVector: Deprecated.
doubleValue(int) - Method in class elki.data.SparseFloatVector: Deprecated.
doubleValue(int) - Method in class elki.data.SparseIntegerVector: Deprecated.
doubleValue(int) - Method in interface elki.data.SparseNumberVector: Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterDoubleValue(int).
doubleValue(int) - Method in class elki.data.SparseShortVector: Deprecated.
doubleValue(int) - Method in interface elki.database.ids.DoubleDBIDList: Get the double value at a given index (to access the DBID, either use DoubleDBIDList.iter() or DoubleDBIDList.assignVar(int, elki.database.ids.DBIDVar).
doubleValue(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDArrayList
doubleValue(int) - Method in class elki.database.ids.integer.DoubleIntegerDBIDSubList
doubleValue(int) - Method in class elki.database.ids.integer.IntegerDBIDKNNSubList
doubleValue(int) - Method in interface elki.index.tree.betula.features.ClusterFeature
doubleValue(int) - Method in class elki.index.tree.spatial.SpatialPointLeafEntry
doubleValue(int) - Method in class elki.math.linearalgebra.Centroid
doubleValue(int) - Method in class elki.outlier.lof.ALOCI.Node
doubleValue(DBIDRef) - Method in interface elki.database.datastore.DoubleDataStore: Retrieves an object from the storage.
doubleValue(DBIDRef) - Method in class elki.database.datastore.memory.ArrayDoubleStore
doubleValue(DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
doubleValue(DBIDRef) - Method in interface elki.database.relation.DoubleRelation: Get the representation of an object.
doubleValue(DBIDRef) - Method in class elki.database.relation.MaterializedDoubleRelation
DoubleVector - Class in elki.data: Vector type using double[] storage for real numbers.
DoubleVector(double[]) - Constructor for class elki.data.DoubleVector: Create a DoubleVector consisting of the given double values.
DoubleVector(double[], boolean) - Constructor for class elki.data.DoubleVector: Private constructor.
DoubleVector.Factory - Class in elki.data: Factory for Double vectors.
DoubleVector.Factory.Par - Class in elki.data: Parameterization class.
DoubleVector.ShortSerializer - Class in elki.data: Serialization class for dense double vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
DoubleVector.SmallSerializer - Class in elki.data: Serialization class for dense double vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
DoubleVector.VariableSerializer - Class in elki.data: Serialization class for variable dimensionality by using VarInt encoding.
DoubleWeightedDataSet - Class in elki.svm.data: This is an efficient array based data set implementation.
DoubleWeightedDataSet(DataSet, int) - Constructor for class elki.svm.data.DoubleWeightedDataSet
DOWN - elki.visualization.svg.SVGArrow.Direction
downsample(double[], int, int, int) - Method in class elki.utilities.datastructures.histogram.DoubleDynamicHistogram: Perform downsampling on a number of bins.
downsample(Object[], int, int, int) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Perform downsampling on a number of bins.
dq - Variable in class elki.clustering.hierarchical.HACAM.Instance: Distance query
dq - Variable in class elki.clustering.hierarchical.MedoidLinkage.Instance: Distance query
dq - Variable in class elki.clustering.hierarchical.MiniMax.Instance: Distance query function
DragableArea - Class in elki.visualization.batikutil: A simple dragable area for Batik.
DragableArea(SVGPlot, double, double, double, double) - Constructor for class elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, double, double, double, double, DragableArea.DragListener) - Constructor for class elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double) - Constructor for class elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double, DragableArea.DragListener) - Constructor for class elki.visualization.batikutil.DragableArea: Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea.DragListener - Interface in elki.visualization.batikutil: Listener interface for drag events.
drawArc(SVGPath, double[], double[], double[], double[], double[], double) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Draw an arc to simulate the hyper ellipse.
drawAxis(SVGPlot, Element, LinearScale, double, double, double, double, SVGSimpleLinearAxis.LabelStyle, StyleLibrary) - Static method in class elki.visualization.svg.SVGSimpleLinearAxis: Plot an axis with appropriate scales
drawClusteringInfo() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
drawClusters(Clustering<OPTICSModel>, It<Cluster<OPTICSModel>>, int, Map<Cluster<?>, String>) - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance: Recursively draw clusters
drawContinuous(UncertainObject, MarkerLibrary, int, double, Random) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Visualize random samples
drawContinuousDefault(UncertainObject, int, double, Random) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Visualize random samples
drawCosine(SVGPlot, Projection2D, NumberVector, double) - Static method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization: Visualizes Cosine and ArcCosine distance functions
drawCross(SVGPlot, Projection2D, NumberVector, double) - Static method in class elki.visualization.svg.SVGHyperSphere: Wireframe "cross" hypersphere
drawDelaunay(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class elki.visualization.svg.VoronoiDraw: Draw the Delaunay triangulation.
drawDiscete(DiscreteUncertainObject, MarkerLibrary, int, double) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Visualize a discrete uncertain object
drawDiscreteDefault(DiscreteUncertainObject, int, double) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance: Visualize discrete object
drawEuclidean(SVGPlot, Projection2D, NumberVector, double) - Static method in class elki.visualization.svg.SVGHyperSphere: Wireframe "euclidean" hypersphere
drawFakeVoronoi(Projection2D, List<double[]>) - Static method in class elki.visualization.svg.VoronoiDraw: Fake Voronoi diagram.
drawFilled(SVGPlot, String, Projection2D, double[], double[]) - Static method in class elki.visualization.svg.SVGHyperCube: Filled hypercube.
drawFilled(SVGPlot, String, Projection2D, NumberVector, NumberVector) - Static method in class elki.visualization.svg.SVGHyperCube: Filled hypercube.
drawFilled(SVGPlot, String, Projection2D, SpatialComparable) - Static method in class elki.visualization.svg.SVGHyperCube: Filled hypercube.
drawFrame(SVGPlot, Projection2D, double[], double[]) - Static method in class elki.visualization.svg.SVGHyperCube: Wireframe hypercube.
drawFrame(SVGPlot, Projection2D, NumberVector, NumberVector) - Static method in class elki.visualization.svg.SVGHyperCube: Wireframe hypercube.
drawFrame(SVGPlot, Projection2D, SpatialComparable) - Static method in class elki.visualization.svg.SVGHyperCube: Wireframe hypercube.
drawHierarchy(SVGPlot, MarkerLibrary, DoubleDoublePair, DoubleDoublePair, int, Cluster<Model>, Object2IntOpenHashMap<Cluster<Model>>, Hierarchy<Cluster<Model>>) - Method in class elki.visualization.visualizers.visunproj.KeyVisualization.Instance
drawHullArc(String, double[], Polygon) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Approximate the hull using arcs.
drawHullLines(String, double[], Polygon) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Approximate by convex hull.
DrawingStyle() - Constructor for enum elki.visualization.visualizers.visunproj.DendrogramVisualization.DrawingStyle
drawLine(int, int, int, int, boolean[][]) - Static method in class elki.math.statistics.dependence.HoughSpaceMeasure: Draw a line onto the array, using the classic Bresenham algorithm.
drawLine(DBIDRef) - Method in class elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance: Draw a single line.
drawLine(DBIDRef) - Method in class elki.visualization.visualizers.parallel.LineVisualization.Instance: Draw a single line.
drawLine(DBIDRef) - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance: Draw a single line.
drawLp(SVGPlot, Projection2D, NumberVector, double, double) - Static method in class elki.visualization.svg.SVGHyperSphere: Wireframe "Lp" hypersphere
drawManhattan(SVGPlot, Projection2D, NumberVector, double) - Static method in class elki.visualization.svg.SVGHyperSphere: Wireframe "manhattan" hypersphere
drawParallelPlot(GLAutoDrawable, GL2) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
drawSample(Random) - Method in class elki.data.uncertain.AbstractUncertainObject
drawSample(Random) - Method in class elki.data.uncertain.SimpleGaussianContinuousUncertainObject
drawSample(Random) - Method in interface elki.data.uncertain.UncertainObject: Draw a random sampled instance.
drawSample(Random) - Method in class elki.data.uncertain.UniformContinuousUncertainObject
drawSample(Random) - Method in class elki.data.uncertain.UnweightedDiscreteUncertainObject
drawSample(Random) - Method in class elki.data.uncertain.WeightedDiscreteUncertainObject
drawSegments() - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Create the segments
drawSphere2D(String, double[], double[][]) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Draw by approximating a sphere via cubic splines
drawStyle - Variable in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance: Round or boxed.
drawTo(double[]) - Method in class elki.visualization.svg.SVGPath: Draw a line given a series of coordinates.
drawTo(double, double) - Method in class elki.visualization.svg.SVGPath: Draw a line given a series of coordinates.
drawVoronoi(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class elki.visualization.svg.VoronoiDraw: Draw a Voronoi diagram
dropdownEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor: The dropdown editor
DropdownEditor(JComboBox<String>) - Constructor for class elki.gui.util.ParameterTable.DropdownEditor: Constructor.
DropEigenPairFilter - Class in elki.math.linearalgebra.pca.filter: The "drop" filter looks for the largest drop in normalized relative eigenvalues.
DropEigenPairFilter(double) - Constructor for class elki.math.linearalgebra.pca.filter.DropEigenPairFilter: Constructor.
DropEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
dropfirst - Variable in class elki.clustering.kmeans.initialization.FarthestPoints: Discard the first vector.
DropNaNFilter - Class in elki.datasource.filter.cleaning: A filter to drop all records that contain NaN values.
DropNaNFilter() - Constructor for class elki.datasource.filter.cleaning.DropNaNFilter: Constructor.
DropNaNFilter.Par - Class in elki.datasource.filter.cleaning: Parameterization class.
DTWDistance - Class in elki.distance.timeseries: Dynamic Time Warping distance (DTW) for numerical vectors.
DTWDistance() - Constructor for class elki.distance.timeseries.DTWDistance: Constructor.
DTWDistance(double) - Constructor for class elki.distance.timeseries.DTWDistance: Constructor.
DTWDistance.Par - Class in elki.distance.timeseries: Parameterization class.
dumpClusteringOutput(Appendable, Clustering<?>) - Method in class elki.result.ClusteringVectorDumper: Dump a single clustering result.
dumpDebugFile() - Method in class elki.visualization.svg.SVGPlot: Dump the SVG plot to a debug file.
Duration - Interface in elki.logging.statistics: Class that tracks the duration of a task.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in interface elki.visualization.batikutil.DragableArea.DragListener: Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.batikutil.DragableArea: Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance
DWOF<O> - Class in elki.outlier: Algorithm to compute dynamic-window outlier factors in a database based on a specified parameter k, which specifies the number of the neighbors to be considered during the calculation of the DWOF score.
DWOF(Distance<? super O>, int, double) - Constructor for class elki.outlier.DWOF: Constructor.
DYNAMIC_SERIALIZER - Static variable in class elki.database.ids.integer.IntegerDBID: The public instance to use for dynamic serialization.
DynamicIndex - Interface in elki.index: Index that supports dynamic insertions and removals.
DynamicMenu() - Constructor for class elki.visualization.gui.ResultWindow.DynamicMenu: Constructor.
DynamicParameters - Class in elki.gui.util: Wrapper around a set of parameters for ELKI, that may not yet be complete or correct.
DynamicParameters() - Constructor for class elki.gui.util.DynamicParameters: Constructor
DynamicParameters.Node - Class in elki.gui.util: Node in the option tree (well, actually list)
DynamicParameters.RemainingOptions - Class in elki.gui.util: Dummy option class that represents unhandled options
DynamicSerializer() - Constructor for class elki.database.ids.integer.IntegerDBID.DynamicSerializer: Constructor.

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