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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 = v1T 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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