A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 

D

d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier
Holds the value of AbstractDBOutlier.D_ID.
d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier.Parameterizer
Query radius
d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
Set sizes, total and current iteration
d - Variable in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension
Dimension to sort with.
d - Variable in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortVectorsBySingleDimension
Dimension to sort with.
d - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
Arrays for internal storage of eigenvalues.
D1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
D2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator
 
D_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier
Parameter to specify the size of the D-neighborhood
D_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.Parameterizer
Option ID for Epsilon parameter
d_max - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
The maximum distance value.
d_min - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
The minimum distance value.
d_zero - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
Holds the value of DOC.Parameterizer.D_ZERO_ID.
d_zero - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
Stopping threshold for FastDOC.
D_ZERO_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
Stopping threshold for FastDOC.
DAFile - Class in de.lmu.ifi.dbs.elki.index.vafile
Dimension approximation file, a one-dimensional part of the PartialVAFile.
DAFile(Relation<? extends NumberVector<?>>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.DAFile
Constructor.
daFiles - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile
Partial VA files.
DARKEN - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite
Darken-only blending.
DashedLineStyleLibrary - Class in de.lmu.ifi.dbs.elki.visualization.style.lines
Line library using various dashed and dotted line styles.
DashedLineStyleLibrary(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
Constructor
dashnum - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
 
dashpatterns - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
Dash patterns to regularly use
data - Variable in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension
The relation to sort.
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore
Data array
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
Data array.
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore
Storage Map.
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore
Storage Map.
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore
Storage Map.
data - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
Storage Map.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList
The actual data array.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
The actual data array.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
The actual data array.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
Data storage.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
The actual data array.
data - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList
Distance values
data - Variable in class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection
The actual data.
data - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
Current object.
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
 
data(int) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
Access a particular object and representation.
data(int, int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
 
data(int, int) - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle
Access a particular object and representation.
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
Get the value of the ith component.
data(int, int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ByLabelFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ClassLabelFromPatternFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.DropNaNFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoMissingValuesFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.NoOpFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.RandomSamplingStreamFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.ReplaceNaNWithRandomFilter
 
data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
 
data - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
X and Y positions
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram
Data store
data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter
The array list to iterate over.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Keeps the currently set database.
database - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
The database storing the parameterization functions.
Database - Interface in de.lmu.ifi.dbs.elki.database
Database specifies the requirements for any database implementation.
database - Variable in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
The database
database - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
Our database
database - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
Our database
database - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractDBIDSimilarityFunction
The database we work on
database - Variable in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
The database we use.
database - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
The database we use
database - Variable in class de.lmu.ifi.dbs.elki.workflow.InputStep
Holds the database to have the algorithms run with.
database - Variable in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer
Holds the database to have the algorithms run on.
DATABASE_CONNECTION_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer
Option to specify the data source for the database.
DATABASE_EMPTY - Static variable in interface de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages
Messages in case a database is unexpectedly empty.
DATABASE_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer
Option ID to specify the database type Key: -db
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
The data source we get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer
Holds the database connection to get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
The data source we get the initial data from.
databaseConnection - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer
Holds the database connection to get the initial data from.
DatabaseConnection - Interface in de.lmu.ifi.dbs.elki.datasource
DatabaseConnection is used to load data into a database.
DatabaseEventManager - Class in de.lmu.ifi.dbs.elki.database
 
DatabaseEventManager() - Constructor for class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
 
DatabaseQuery - Interface in de.lmu.ifi.dbs.elki.database.query
General interface for database queries.
DatabaseUtil - Class in de.lmu.ifi.dbs.elki.utilities
Class with Database-related utility functions such as centroid computation, covariances etc.
DatabaseUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
Fake constructor: Do not instantiate!
DatabaseUtil.CollectionFromRelation<O> - Class in de.lmu.ifi.dbs.elki.utilities
Collection view on a database that retrieves the objects when needed.
DatabaseUtil.CollectionFromRelation(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.CollectionFromRelation
Constructor.
DatabaseUtil.RelationObjectIterator<O> - Class in de.lmu.ifi.dbs.elki.utilities
Iterator class that retrieves the given objects from the database.
DatabaseUtil.RelationObjectIterator(DBIDIter, Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
Full Constructor.
DatabaseUtil.RelationObjectIterator(Relation<? extends O>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.RelationObjectIterator
Simplified constructor.
dataLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
 
dataLength() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.ObjectBundle
Get the number of objects contained.
dataLength() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
 
DATALINE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
Generic tags to indicate the type of element.
dataProjections(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the data vectors after projection.
DataStore<T> - Interface in de.lmu.ifi.dbs.elki.database.datastore
Generic storage interface for objects indexed by DBID.
DataStoreEvent - Class in de.lmu.ifi.dbs.elki.database.datastore
Encapsulates information describing changes, i.e. updates, insertions, and / or deletions in a DataStore, and used to notify all subscribed DataStoreListener of the change.
DataStoreEvent(Object, Map<DataStoreEvent.Type, DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
Used to create an event when objects have been updated in, inserted into, and / or removed from the specified DataStore.
DataStoreEvent.Type - Enum in de.lmu.ifi.dbs.elki.database.datastore
Available event types.
DataStoreEvent.Type() - Constructor for enum de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent.Type
 
DataStoreFactory - Interface in de.lmu.ifi.dbs.elki.database.datastore
API for a storage factory used for producing larger storage maps.
DataStoreIDMap - Interface in de.lmu.ifi.dbs.elki.database.datastore
Interface to map DBIDs to integer record ids for use in storage.
DataStoreListener - Interface in de.lmu.ifi.dbs.elki.database.datastore
Defines the interface for an object that listens to changes in a DataStore.
dataStoreObjects - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
The objects that were changed in the current DataStoreEvent.
DataStoreUtil - Class in de.lmu.ifi.dbs.elki.database.datastore
Storage utility class.
DataStoreUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil
 
dataVector(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the data vectors after projection.
db - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer
The database we use for obtaining object bundles.
db - Variable in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil.CollectionFromRelation
The database we query.
dbgStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane
Debug message style
DBID - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Database IDs.
DBID - Interface in de.lmu.ifi.dbs.elki.database.ids
Database ID object.
DBIDArrayIter - Interface in de.lmu.ifi.dbs.elki.database.ids
Array iterators that can also go backwards and seek.
DBIDArrayMIter - Interface in de.lmu.ifi.dbs.elki.database.ids
Modifiable array iterator.
DBIDDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
DBID-valued data store (avoids boxing/unboxing).
DBIDDistanceFunction<D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Distance functions valid in a database context only (i.e. for DBIDs) For any "distance" that cannot be computed for arbitrary objects, only those that exist in the database and referenced by their ID.
DBIDDistanceQuery<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.query.distance
Run a distance query based on DBIDs
DBIDDistanceQuery(Relation<DBID>, DBIDDistanceFunction<D>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
Constructor.
DBIDFactory - Interface in de.lmu.ifi.dbs.elki.database.ids
Factory interface for generating DBIDs.
DBIDIter - Interface in de.lmu.ifi.dbs.elki.database.ids
Iterator for DBIDs.
DBIDIterAdapter - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Iterator for classic collections.
DBIDIterAdapter(Iterator<DBID>) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DBIDIterAdapter
Constructor.
DBIDMIter - Interface in de.lmu.ifi.dbs.elki.database.ids
Modifiable DBID iterator.
DBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids
Immutable pair of two DBIDs.
DBIDRange - Interface in de.lmu.ifi.dbs.elki.database.ids
Static DBID range.
DBIDRangeDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
This is a fake datasource that produces a static DBID range only.
DBIDRangeDatabaseConnection(int, int) - Constructor for class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection
Constructor.
DBIDRangeDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
Parameterization class.
DBIDRangeDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer
 
DBIDRef - Interface in de.lmu.ifi.dbs.elki.database.ids
Some object referencing a DBID.
DBIDS - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Database ID lists.
DBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
Interface for a collection of database references (IDs).
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult
The DBIDs we are defined for
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter
Database IDs
dbids - Variable in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter
DBIDs
dbids - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
The DBIDs to display
DBIDSelection - Class in de.lmu.ifi.dbs.elki.result
Class representing selected Database-IDs and/or a selection range.
DBIDSelection(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.result.DBIDSelection
Constructor with new object IDs.
DBIDSimilarityFunction<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs.
DBIDUtil - Class in de.lmu.ifi.dbs.elki.database.ids
DBID Utility functions.
DBIDUtil() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Static - no public constructor.
DBIDVar - Interface in de.lmu.ifi.dbs.elki.database.ids
(Persistent) variable storing a DBID reference.
DBIDView - Class in de.lmu.ifi.dbs.elki.database.relation
Pseudo-representation that is the object ID itself.
DBIDView(Database, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.DBIDView
Constructor.
DBOutlierDetection<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Simple distanced based outlier detection algorithm.
DBOutlierDetection(DistanceFunction<O, D>, D, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection
Constructor with actual parameters.
DBOutlierDetection.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
DBOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierDetection.Parameterizer
 
DBOutlierScore<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Compute percentage of neighbors in the given neighborhood with size d.
DBOutlierScore(DistanceFunction<O, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore
Constructor with parameters.
DBOutlierScore.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
DBOutlierScore.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DBOutlierScore.Parameterizer
 
DBSCAN<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
DBSCAN provides the DBSCAN algorithm, an algorithm to find density-connected sets in a database.
DBSCAN(DistanceFunction<? super O, D>, D, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Constructor with parameters.
DBSCAN.Parameterizer<O,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Parameterization class.
DBSCAN.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer
 
dbsize - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
Database size.
de.lmu.ifi.dbs.elki - package de.lmu.ifi.dbs.elki
ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
de.lmu.ifi.dbs.elki.algorithm - package de.lmu.ifi.dbs.elki.algorithm
Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.benchmark - package de.lmu.ifi.dbs.elki.algorithm.benchmark
Benchmarking pseudo algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering - package de.lmu.ifi.dbs.elki.algorithm.clustering
Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation - package de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Affinity Propagation (AP) clustering.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering - package de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering
Biclustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash - package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash
Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan - package de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan
Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical - package de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
 
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans - package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans
K-means clustering and variations.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality - package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality
Quality measures for k-Means results.
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional - package de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional
Clustering algorithms for one-dimensional data.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique
Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.trivial - package de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.
de.lmu.ifi.dbs.elki.algorithm.outlier - package de.lmu.ifi.dbs.elki.algorithm.outlier
Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.lof - package de.lmu.ifi.dbs.elki.algorithm.outlier.lof
LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.meta - package de.lmu.ifi.dbs.elki.algorithm.outlier.meta
Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood
Spatial outlier neighborhood classes
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted - package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted
Weighted Neighborhood definitions.
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace - package de.lmu.ifi.dbs.elki.algorithm.outlier.subspace
Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial - package de.lmu.ifi.dbs.elki.algorithm.outlier.trivial
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
de.lmu.ifi.dbs.elki.algorithm.statistics - package de.lmu.ifi.dbs.elki.algorithm.statistics
Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.application - package de.lmu.ifi.dbs.elki.application
Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.application.cache - package de.lmu.ifi.dbs.elki.application.cache
Utility applications for the persistence layer such as distance cache builders.
de.lmu.ifi.dbs.elki.application.geo - package de.lmu.ifi.dbs.elki.application.geo
Application for exploring geo data.
de.lmu.ifi.dbs.elki.application.greedyensemble - package de.lmu.ifi.dbs.elki.application.greedyensemble
Greedy ensembles for outlier detection.
de.lmu.ifi.dbs.elki.application.internal - package de.lmu.ifi.dbs.elki.application.internal
Internal utilities for development.
de.lmu.ifi.dbs.elki.application.jsmap - package de.lmu.ifi.dbs.elki.application.jsmap
JavaScript based map client - server architecture.
de.lmu.ifi.dbs.elki.data - package de.lmu.ifi.dbs.elki.data
Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.images - package de.lmu.ifi.dbs.elki.data.images
Package for processing image data (e.g. compute color histograms)
de.lmu.ifi.dbs.elki.data.model - package de.lmu.ifi.dbs.elki.data.model
Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.data.projection - package de.lmu.ifi.dbs.elki.data.projection
Data projections.
de.lmu.ifi.dbs.elki.data.spatial - package de.lmu.ifi.dbs.elki.data.spatial
Spatial data types - interfaces and utilities.
de.lmu.ifi.dbs.elki.data.synthetic - package de.lmu.ifi.dbs.elki.data.synthetic
Generators for synthetic data sets
de.lmu.ifi.dbs.elki.data.synthetic.bymodel - package de.lmu.ifi.dbs.elki.data.synthetic.bymodel
Generator using a distribution model specified in an XML configuration file.
de.lmu.ifi.dbs.elki.data.type - package de.lmu.ifi.dbs.elki.data.type
Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.database - package de.lmu.ifi.dbs.elki.database
ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.datastore - package de.lmu.ifi.dbs.elki.database.datastore
General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
de.lmu.ifi.dbs.elki.database.datastore.memory - package de.lmu.ifi.dbs.elki.database.datastore.memory
Memory data store implementation for ELKI.
de.lmu.ifi.dbs.elki.database.ids - package de.lmu.ifi.dbs.elki.database.ids
Database object identification and ID group handling API.
de.lmu.ifi.dbs.elki.database.ids.distance - package de.lmu.ifi.dbs.elki.database.ids.distance
Distance-DBID pairs, lists and heaps.
de.lmu.ifi.dbs.elki.database.ids.generic - package de.lmu.ifi.dbs.elki.database.ids.generic
Database object identification and ID group handling - generic implementations.
de.lmu.ifi.dbs.elki.database.ids.integer - package de.lmu.ifi.dbs.elki.database.ids.integer
Integer-based DBID implementation -- do not use directly - always use DBIDUtil.
de.lmu.ifi.dbs.elki.database.query - package de.lmu.ifi.dbs.elki.database.query
Database queries - computing distances, neighbors, similarities - API and general documentation.
de.lmu.ifi.dbs.elki.database.query.distance - package de.lmu.ifi.dbs.elki.database.query.distance
Prepared queries for distances.
de.lmu.ifi.dbs.elki.database.query.knn - package de.lmu.ifi.dbs.elki.database.query.knn
Prepared queries for k nearest neighbor (kNN) queries.
de.lmu.ifi.dbs.elki.database.query.range - package de.lmu.ifi.dbs.elki.database.query.range
Prepared queries for ε-range queries.
de.lmu.ifi.dbs.elki.database.query.rknn - package de.lmu.ifi.dbs.elki.database.query.rknn
Prepared queries for reverse k nearest neighbor (rkNN) queries.
de.lmu.ifi.dbs.elki.database.query.similarity - package de.lmu.ifi.dbs.elki.database.query.similarity
Prepared queries for similarity functions.
de.lmu.ifi.dbs.elki.database.relation - package de.lmu.ifi.dbs.elki.database.relation
Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.datasource - package de.lmu.ifi.dbs.elki.datasource
Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.bundle - package de.lmu.ifi.dbs.elki.datasource.bundle
Object bundles - exchange container for multi-represented objects.
de.lmu.ifi.dbs.elki.datasource.filter - package de.lmu.ifi.dbs.elki.datasource.filter
Data filtering, in particular for normalization and projection.
de.lmu.ifi.dbs.elki.datasource.filter.normalization - package de.lmu.ifi.dbs.elki.datasource.filter.normalization
Data normalization.
de.lmu.ifi.dbs.elki.datasource.filter.transform - package de.lmu.ifi.dbs.elki.datasource.filter.transform
Data space transformations.
de.lmu.ifi.dbs.elki.datasource.parser - package de.lmu.ifi.dbs.elki.datasource.parser
Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.distance - package de.lmu.ifi.dbs.elki.distance
de.lmu.ifi.dbs.elki.distance.distancefunction - package de.lmu.ifi.dbs.elki.distance.distancefunction
Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter - package de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram - package de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation - package de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.external - package de.lmu.ifi.dbs.elki.distance.distancefunction.external
Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo - package de.lmu.ifi.dbs.elki.distance.distancefunction.geo
Geographic (earth) distance functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.histogram - package de.lmu.ifi.dbs.elki.distance.distancefunction.histogram
Distance functions for one-dimensional histograms.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski - package de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic - package de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.strings - package de.lmu.ifi.dbs.elki.distance.distancefunction.strings
Distance functions for strings.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace - package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries - package de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Distance functions designed for time series.
de.lmu.ifi.dbs.elki.distance.distanceresultlist - package de.lmu.ifi.dbs.elki.distance.distanceresultlist
Classes for building and storing the results of distance-based queries
de.lmu.ifi.dbs.elki.distance.distancevalue - package de.lmu.ifi.dbs.elki.distance.distancevalue
Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.
de.lmu.ifi.dbs.elki.distance.similarityfunction - package de.lmu.ifi.dbs.elki.distance.similarityfunction
Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel - package de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
Kernel functions.
de.lmu.ifi.dbs.elki.evaluation - package de.lmu.ifi.dbs.elki.evaluation
Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.evaluation.clustering - package de.lmu.ifi.dbs.elki.evaluation.clustering
Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments - package de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments
Pair-segment analysis of multiple clusterings.
de.lmu.ifi.dbs.elki.evaluation.histogram - package de.lmu.ifi.dbs.elki.evaluation.histogram
Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.index - package de.lmu.ifi.dbs.elki.evaluation.index
Simple index evaluation methods
de.lmu.ifi.dbs.elki.evaluation.outlier - package de.lmu.ifi.dbs.elki.evaluation.outlier
Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.roc - package de.lmu.ifi.dbs.elki.evaluation.roc
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix - package de.lmu.ifi.dbs.elki.evaluation.similaritymatrix
Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.gui - package de.lmu.ifi.dbs.elki.gui
Graphical User Interfaces for ELKI
de.lmu.ifi.dbs.elki.gui.configurator - package de.lmu.ifi.dbs.elki.gui.configurator
Configurator components
de.lmu.ifi.dbs.elki.gui.icons - package de.lmu.ifi.dbs.elki.gui.icons
Icons for ELKI GUI.
de.lmu.ifi.dbs.elki.gui.minigui - package de.lmu.ifi.dbs.elki.gui.minigui
A very simple UI to build ELKI command lines.
de.lmu.ifi.dbs.elki.gui.multistep - package de.lmu.ifi.dbs.elki.gui.multistep
Multi-step GUI for ELKI
de.lmu.ifi.dbs.elki.gui.multistep.panels - package de.lmu.ifi.dbs.elki.gui.multistep.panels
Panels for the multi-step GUI
de.lmu.ifi.dbs.elki.gui.util - package de.lmu.ifi.dbs.elki.gui.util
Utility classes for GUIs (e.g. a class to display a logging panel)
de.lmu.ifi.dbs.elki.index - package de.lmu.ifi.dbs.elki.index
Index structure implementations
de.lmu.ifi.dbs.elki.index.lsh - package de.lmu.ifi.dbs.elki.index.lsh
Locality Sensitive Hashing
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies - package de.lmu.ifi.dbs.elki.index.lsh.hashfamilies
Hash function families for LSH.
de.lmu.ifi.dbs.elki.index.lsh.hashfunctions - package de.lmu.ifi.dbs.elki.index.lsh.hashfunctions
Hash functions for LSH
de.lmu.ifi.dbs.elki.index.preprocessed - package de.lmu.ifi.dbs.elki.index.preprocessed
Index structure based on preprocessors
de.lmu.ifi.dbs.elki.index.preprocessed.knn - package de.lmu.ifi.dbs.elki.index.preprocessed.knn
Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca - package de.lmu.ifi.dbs.elki.index.preprocessed.localpca
Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference - package de.lmu.ifi.dbs.elki.index.preprocessed.preference
Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.preprocessed.snn - package de.lmu.ifi.dbs.elki.index.preprocessed.snn
Indexes providing nearest neighbor sets
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj - package de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
Index using a preprocessed local subspaces.
de.lmu.ifi.dbs.elki.index.projected - package de.lmu.ifi.dbs.elki.index.projected
Projected indexes for data.
de.lmu.ifi.dbs.elki.index.tree - package de.lmu.ifi.dbs.elki.index.tree
Tree-based index structures
de.lmu.ifi.dbs.elki.index.tree.metrical - package de.lmu.ifi.dbs.elki.index.tree.metrical
Tree-based index structures for metrical vector spaces.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query
Classes for performing queries (knn, range, ...) on metrical trees.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies
Strategies for M-Trees (and variants).
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.insert
Insertion (choose path) strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split - package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split
Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.index.tree.query - package de.lmu.ifi.dbs.elki.index.tree.query
Classes related to generic tree queries.
de.lmu.ifi.dbs.elki.index.tree.spatial - package de.lmu.ifi.dbs.elki.index.tree.spatial
Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.kd - package de.lmu.ifi.dbs.elki.index.tree.spatial.kd
K-d-tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants
R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Queries on the R-Tree family of indexes: kNN and range queries.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies
Various strategies for R-Trees and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk
Packages for bulk-loading R*-Trees.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert
Insertion strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow
Overflow treatment strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert
Reinsertion strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split
Splitting strategies for R-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util
Utilities for R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.vafile - package de.lmu.ifi.dbs.elki.index.vafile
Vector Approximation File
de.lmu.ifi.dbs.elki.logging - package de.lmu.ifi.dbs.elki.logging
Logging facility for controlling logging behavior of the complete framework.
de.lmu.ifi.dbs.elki.logging.progress - package de.lmu.ifi.dbs.elki.logging.progress
Progress status objects (for UI)
de.lmu.ifi.dbs.elki.logging.statistics - package de.lmu.ifi.dbs.elki.logging.statistics
Classes for logging various statistics.
de.lmu.ifi.dbs.elki.math - package de.lmu.ifi.dbs.elki.math
Mathematical operations and utilities used throughout the framework.
de.lmu.ifi.dbs.elki.math.dimensionsimilarity - package de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Functions to compute the similarity of dimensions (or the interestingness of the combination).
de.lmu.ifi.dbs.elki.math.geodesy - package de.lmu.ifi.dbs.elki.math.geodesy
 
de.lmu.ifi.dbs.elki.math.geometry - package de.lmu.ifi.dbs.elki.math.geometry
Algorithms from computational geometry.
de.lmu.ifi.dbs.elki.math.linearalgebra - package de.lmu.ifi.dbs.elki.math.linearalgebra
Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.math.linearalgebra.fitting - package de.lmu.ifi.dbs.elki.math.linearalgebra.fitting
Function to numerically fit a function (such as a Gaussian distribution to given data.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca - package de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions - package de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
Weight functions used in weighted PCA via WeightedCovarianceMatrixBuilder
de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections - package de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections
Random projection families.
de.lmu.ifi.dbs.elki.math.scales - package de.lmu.ifi.dbs.elki.math.scales
Scales handling for plotting.
de.lmu.ifi.dbs.elki.math.spacefillingcurves - package de.lmu.ifi.dbs.elki.math.spacefillingcurves
Space filling curves.
de.lmu.ifi.dbs.elki.math.statistics - package de.lmu.ifi.dbs.elki.math.statistics
Statistical tests and methods.
de.lmu.ifi.dbs.elki.math.statistics.distribution - package de.lmu.ifi.dbs.elki.math.statistics.distribution
Standard distributions, with random generation functionalities.
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator - package de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Estimators for statistical distributions.
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta - package de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta
Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.
de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions - package de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions
Kernel functions from statistics.
de.lmu.ifi.dbs.elki.math.statistics.tests - package de.lmu.ifi.dbs.elki.math.statistics.tests
Statistical tests.
de.lmu.ifi.dbs.elki.persistent - package de.lmu.ifi.dbs.elki.persistent
Persistent data management.
de.lmu.ifi.dbs.elki.result - package de.lmu.ifi.dbs.elki.result
Result types, representation and handling
de.lmu.ifi.dbs.elki.result.optics - package de.lmu.ifi.dbs.elki.result.optics
Result classes for OPTICS.
de.lmu.ifi.dbs.elki.result.outlier - package de.lmu.ifi.dbs.elki.result.outlier
Outlier result classes
de.lmu.ifi.dbs.elki.result.textwriter - package de.lmu.ifi.dbs.elki.result.textwriter
Text serialization (CSV, Gnuplot, Console, ...)
de.lmu.ifi.dbs.elki.result.textwriter.naming - package de.lmu.ifi.dbs.elki.result.textwriter.naming
Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
de.lmu.ifi.dbs.elki.result.textwriter.writers - package de.lmu.ifi.dbs.elki.result.textwriter.writers
Serialization handlers for individual data types.
de.lmu.ifi.dbs.elki.utilities - package de.lmu.ifi.dbs.elki.utilities
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
de.lmu.ifi.dbs.elki.utilities.datastructures - package de.lmu.ifi.dbs.elki.utilities.datastructures
Basic memory structures such as heaps and object hierarchies.
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike - package de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
de.lmu.ifi.dbs.elki.utilities.datastructures.arrays - package de.lmu.ifi.dbs.elki.utilities.datastructures.arrays
Utilities for arrays: advanced sorting for primitvie arrays.
de.lmu.ifi.dbs.elki.utilities.datastructures.heap - package de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Heap structures and variations such as bounded priority heaps.
de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy - package de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
Delegate implementation of a hierarchy.
de.lmu.ifi.dbs.elki.utilities.datastructures.histogram - package de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Classes for computing histograms.
de.lmu.ifi.dbs.elki.utilities.datastructures.iterator - package de.lmu.ifi.dbs.elki.utilities.datastructures.iterator
ELKI Iterator API.
de.lmu.ifi.dbs.elki.utilities.documentation - package de.lmu.ifi.dbs.elki.utilities.documentation
Documentation utilities: Annotations for Title, Description, Reference
de.lmu.ifi.dbs.elki.utilities.ensemble - package de.lmu.ifi.dbs.elki.utilities.ensemble
Utility classes for simple ensembles.
de.lmu.ifi.dbs.elki.utilities.exceptions - package de.lmu.ifi.dbs.elki.utilities.exceptions
Exception classes and common exception messages.
de.lmu.ifi.dbs.elki.utilities.optionhandling - package de.lmu.ifi.dbs.elki.utilities.optionhandling
Parameter handling and option descriptions.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints - package de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
Constraints allow to restrict possible values for parameters.
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization - package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization
Configuration managers See the de.lmu.ifi.dbs.elki.utilities.optionhandling package for documentation!
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters - package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Classes for various typed parameters.
de.lmu.ifi.dbs.elki.utilities.pairs - package de.lmu.ifi.dbs.elki.utilities.pairs
Pairs and triples utility classes.
de.lmu.ifi.dbs.elki.utilities.referencepoints - package de.lmu.ifi.dbs.elki.utilities.referencepoints
Package containing strategies to obtain reference points Shared code for various algorithms that use reference points.
de.lmu.ifi.dbs.elki.utilities.scaling - package de.lmu.ifi.dbs.elki.utilities.scaling
Scaling functions: linear, logarithmic, gamma, clipping, ...
de.lmu.ifi.dbs.elki.utilities.scaling.outlier - package de.lmu.ifi.dbs.elki.utilities.scaling.outlier
Scaling of Outlier scores, that require a statistical analysis of the occurring values
de.lmu.ifi.dbs.elki.utilities.xml - package de.lmu.ifi.dbs.elki.utilities.xml
XML and XHTML utilities.
de.lmu.ifi.dbs.elki.visualization - package de.lmu.ifi.dbs.elki.visualization
Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.batikutil - package de.lmu.ifi.dbs.elki.visualization.batikutil
Commonly used functionality useful for Apache Batik.
de.lmu.ifi.dbs.elki.visualization.colors - package de.lmu.ifi.dbs.elki.visualization.colors
Color scheme handling for ELKI.
de.lmu.ifi.dbs.elki.visualization.css - package de.lmu.ifi.dbs.elki.visualization.css
Managing CSS styles / classes.
de.lmu.ifi.dbs.elki.visualization.gui - package de.lmu.ifi.dbs.elki.visualization.gui
Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.gui.detail - package de.lmu.ifi.dbs.elki.visualization.gui.detail
Classes for managing a detail view.
de.lmu.ifi.dbs.elki.visualization.gui.overview - package de.lmu.ifi.dbs.elki.visualization.gui.overview
Classes for managing the overview plot.
de.lmu.ifi.dbs.elki.visualization.opticsplot - package de.lmu.ifi.dbs.elki.visualization.opticsplot
Code for drawing OPTICS plots
de.lmu.ifi.dbs.elki.visualization.projections - package de.lmu.ifi.dbs.elki.visualization.projections
Visualization projections
de.lmu.ifi.dbs.elki.visualization.projector - package de.lmu.ifi.dbs.elki.visualization.projector
Projectors are responsible for finding appropriate projections for data relations.
de.lmu.ifi.dbs.elki.visualization.savedialog - package de.lmu.ifi.dbs.elki.visualization.savedialog
Save dialog for SVG plots.
de.lmu.ifi.dbs.elki.visualization.style - package de.lmu.ifi.dbs.elki.visualization.style
Style management for ELKI visualizations.
de.lmu.ifi.dbs.elki.visualization.style.lines - package de.lmu.ifi.dbs.elki.visualization.style.lines
Generate line styles for plotting in CSS
de.lmu.ifi.dbs.elki.visualization.style.marker - package de.lmu.ifi.dbs.elki.visualization.style.marker
Draw plot markers
de.lmu.ifi.dbs.elki.visualization.svg - package de.lmu.ifi.dbs.elki.visualization.svg
Base SVG functionality (generation, markers, thumbnails, export, ...).
de.lmu.ifi.dbs.elki.visualization.visualizers - package de.lmu.ifi.dbs.elki.visualization.visualizers
Visualizers for various results
de.lmu.ifi.dbs.elki.visualization.visualizers.histogram - package de.lmu.ifi.dbs.elki.visualization.visualizers.histogram
Visualizers based on 1D projected histograms.
de.lmu.ifi.dbs.elki.visualization.visualizers.optics - package de.lmu.ifi.dbs.elki.visualization.visualizers.optics
Visualizers that do work on OPTICS plots
de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments - package de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments
Visualizers for inspecting cluster differences using pair counting segments.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel - package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel
Visualizers based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster - package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster
Visualizers for clustering results based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index - package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index
Visualizers for index structure based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection - package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection
Visualizers for object selection based on parallel projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot
Visualizers based on scatterplots.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster
Visualizers for clustering results based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density
Visualizers for data set density in a scatterplot projection.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index
Visualizers for index structures based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier
Visualizers for outlier scores based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection
Visualizers for object selection based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs - package de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs
Thumbnail "Visualizers" (that take care of refreshing thumbnails)
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj - package de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj
Visualizers that do not use a particular projection.
de.lmu.ifi.dbs.elki.workflow - package de.lmu.ifi.dbs.elki.workflow
Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
deallocateDBIDRange(DBIDRange) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Deallocate a static DBID range.
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
 
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
 
deallocateDBIDRange(DBIDRange) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
 
deallocateSingleDBID(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Return a single DBID for reuse.
deallocateSingleDBID(DBID) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Return a single DBID for reuse.
deallocateSingleDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
 
deallocateSingleDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
 
deallocateSingleDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory
 
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
Undo the rearrangement of components
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
 
dearrange(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
 
debug(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
debug(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
DEBUG - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration
General debug flag.
DEBUG_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
Optional Parameter to specify a class to enable debugging for.
debugExtraCheckSymmetry - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Debug flag, to double-check all write operations.
debugExtraCheckSymmetry - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
Debug flag, to double-check all write operations.
debugFine(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
debugFine(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'fine' debugging level.
debugFiner(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finer' debugging level.
debugFiner(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finer' debugging level.
debugFinest(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finest' debugging level.
debugFinest(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'finest' debugging level.
debugformat - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane
Formatter for debugging messages
debugformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler
Formatter for debugging messages
debugHull() - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
Debug helper
decoder - Variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil.StringSerializer
Decoder.
decrement() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
 
decrement() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter
Decrement the counter.
decrement() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
 
DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.utilities.RandomFactory
Global default factory
DEFAULT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Default
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
The default value for HiCO.ALPHA_ID.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory
The default value for alpha.
DEFAULT_ALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter
The default value for alpha.
DEFAULT_APPLICATION - Static variable in class de.lmu.ifi.dbs.elki.application.ELKILauncher
Application to run by default.
DEFAULT_ARFF_MAGIC_CLASS - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Pattern to auto-convert columns to class labels.
DEFAULT_ARFF_MAGIC_EID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
Pattern to auto-convert columns to external ids.
DEFAULT_BINS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
Number of bins to use in histogram.
DEFAULT_BUTTON_COLOR - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton
Default button color
DEFAULT_DEGREE - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
The default degree.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
The default value for HiCO.DELTA_ID.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.FourCSubspaceIndex.Factory
The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory
The default value for delta.
DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
The default value for delta.
DEFAULT_ENABLEVIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
Default pattern for visualizer enabling.
DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
The default value for epsilon.
DEFAULT_IGNORES - Static variable in class de.lmu.ifi.dbs.elki.utilities.InspectionUtil
Default package ignores.
DEFAULT_INITIAL_CAPACITY - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
Default initial capacity.
DEFAULT_PALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter
The default value for alpha.
DEFAULT_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier
The default pattern to use.
DEFAULT_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers
Default prefix to use.
DEFAULT_PROPERTIES_EXTENSION - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
File extension
DEFAULT_PROPERTIES_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
Default properties path
DEFAULT_QUALITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Default JPEG quality setting
DEFAULT_RALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter
The default value for ralpha.
DEFAULT_SCHEME_FILENAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
File name of the default color scheme.
DEFAULT_SCHEME_NAME - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary
Name of the default color scheme.
DEFAULT_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
The default separator pattern, a point ('.').
DEFAULT_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser
A pattern defining whitespace.
DEFAULT_SEPARATOR_STRING - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
The default separator, a point ('.').
DEFAULT_STRATEGY - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
Default strategy.
DEFAULT_TEXT_COLOR - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton
Default text color
DEFAULT_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer
Default threshold for resizing.
DEFAULT_TITLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer
Default title
DEFAULT_TITLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog
The default title.
default_visibility - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Flag to signal default visibility of a visualizer.
DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter
The default value for walpha.
DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter
The default value for alpha.
DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter
The default value for walpha.
DEFAULT_WALPHA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter
The default value for walpha.
defaultHandlers - Static variable in class de.lmu.ifi.dbs.elki.workflow.OutputStep
 
DefaultPageHeader - Class in de.lmu.ifi.dbs.elki.persistent
Default implementation of a page header.
DefaultPageHeader() - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
Empty constructor for serialization.
DefaultPageHeader(int) - Constructor for class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader
Creates a new header with the specified parameters.
defaultValue - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
The default value of the parameter (may be null).
defaultValueTaken - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
Specifies if the default value of this parameter was taken as parameter value.
defineBicluster(BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Defines a Bicluster as given by the included rows and columns.
defineBicluster(long[], long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Defines a Bicluster as given by the included rows and columns.
defs - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Definitions element of the document.
DEG2RAD - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil
Constant for degrees to radians.
deg2rad(double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Convert Degree to Radians.
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
Degree of the polynomial kernel function.
degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
Degree of the polynomial kernel function.
DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer
Degree parameter.
delaunay - Variable in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape
Delaunay triangulation
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
 
delete(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore
Delete the contents for a particular ID and notifies the registered listeners.
delete(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Removes the objects from the database (by calling HashmapDatabase.doDelete(DBIDRef) for each object) and indexes and fires a deletion event.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
Delete an objects values.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
 
delete(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation
Delete an objects values.
delete(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase
Removes and returns the specified objects with the given ids from the database.
delete(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase
Removes and returns the specified objects with the given ids from the database.
delete(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex
Deletes the specified object from this index.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
Deletes the specified object from this index.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
Deletes the specified object from this index.
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.PredecessorAdapter
 
delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult.ReachabilityDistanceAdapter
 
deleteAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex
Deletes the specified objects from this index.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
 
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
Throws an UnsupportedOperationException since deletion of objects is not yet supported by an M-Tree.
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
 
deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
 
deleteAllEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Deletes all entries in this node.
deleteButton - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
Button to delete the selected objects
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
Delete the children of the element.
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
Delete the children of the element
deleteChildren(Element) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ToolBox2DVisualization.Instance
Deletes the children of the container
deleteEntry(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Deletes the entry at the specified index and shifts all entries after the index to left.
deleteNode(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Delete a node from the backing storage.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
 
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
 
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
Deletes the node with the specified id from this file.
deletePage(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile
Deletes the node with the specified id from this file.
deletePage(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
Deletes the node with the specified id from this file.
deletePath(IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Delete a leaf at a given path - deletions for non-leaves are not supported!
DeLiClu<NV extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
DeLiClu provides the DeLiClu algorithm, a hierarchical algorithm to find density-connected sets in a database.
DeLiClu(DistanceFunction<? super NV, D>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
Constructor.
DeLiClu.Parameterizer<NV extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Parameterization class.
DeLiClu.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.Parameterizer
 
DeLiClu.SpatialObjectPair - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
Encapsulates an entry in the cluster order.
DeLiClu.SpatialObjectPair(D, SpatialEntry, SpatialEntry, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair
Creates a new entry with the specified parameters.
DeLiCluDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Defines the requirements for a directory entry in an DeLiClu-Tree node.
DeLiCluDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
Empty constructor for serialization purposes.
DeLiCluDirectoryEntry(int, ModifiableHyperBoundingBox, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
Constructs a new DeLiCluDirectoryEntry object with the given parameters.
DeLiCluEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Defines the requirements for an entry in an DeLiClu-Tree node.
DeLiCluLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Defines the requirements for a leaf entry in an DeLiClu-Tree node.
DeLiCluLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
Empty constructor for serialization purposes.
DeLiCluLeafEntry(DBID, NumberVector<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
Constructs a new LeafEntry object with the given parameters.
DeLiCluNode - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Represents a node in a DeLiClu-Tree.
DeLiCluNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
Empty constructor for Externalizable interface.
DeLiCluNode(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
Creates a new DeLiCluNode with the specified parameters.
DeLiCluTree - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
DeLiCluTree is a spatial index structure based on an R-Tree.
DeLiCluTree(PageFile<DeLiCluNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree
Constructor.
DeLiCluTreeFactory<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Factory for DeLiClu R*-Trees.
DeLiCluTreeFactory(PageFileFactory<?>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory
Constructor.
DeLiCluTreeFactory.Parameterizer<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
Parameterization class.
DeLiCluTreeFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Parameterizer
 
DeLiCluTreeIndex<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu
The common use of the DeLiClu tree: indexing number vectors.
DeLiCluTreeIndex(Relation<O>, PageFile<DeLiCluNode>, AbstractRTreeSettings) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
Constructor.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
Threshold for the score.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
Threshold for the score (ChengAndChurch.Parameterizer.DELTA_ID).
DELTA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
Delta parameter
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer
Stopping threshold
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
The radii changing ratio
delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF.Parameterizer
Radius increase factor.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction
Holds the value of ERiCDistanceFunction.DELTA_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance
Holds the value of ERiCDistanceFunction.DELTA_ID.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Parameterizer
 
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
Delta value
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Parameterizer
 
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
Keeps the currently set delta.
delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer
 
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex
The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory
The threshold for small eigenvalues.
delta - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory.Parameterizer
The threshold for small eigenvalues.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
Threshold for strong eigenpairs, can be absolute or relative.
delta - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer
Threshold for strong eigenpairs, can be absolute or relative.
DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
A small number to handle numbers near 0 as 0.
delta - Variable in class de.lmu.ifi.dbs.elki.math.scales.LinearScale
Scale delta := max - min
DELTA - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction
Convergence parameter
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
Threshold value to determine the maximal acceptable score (mean squared residue) of a bicluster.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM.Parameterizer
Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF.Parameterizer
Option ID for radius increases
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction
Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction
Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
DELTA parameter
DELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex.Factory
Parameter for Delta.
deltaparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
 
DendrogramModel<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.data.model
Model for dendrograms, provides the distance to the child cluster.
DendrogramModel(D) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
Constructor.
denominator - Variable in class de.lmu.ifi.dbs.elki.data.RationalNumber
Holding the denominator of the RationalNumber.
denormalizeValue(double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance
Return the unnormalized value (centered at the mean, distance normalized by standard deviation)
dens - Variable in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator
Result storage: density
densecols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.DropNaNFilter
Columns to check.
densecols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ReplaceNaNWithRandomFilter
Columns to check.
denseUnits - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
The dense units belonging to this subspace.
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction
 
density(double) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.KernelDensityFunction
Density contribution of a point at the given relative distance delta >= 0.
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction
 
density(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction
 
densitycorrection - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Correction factor for probability computation
DensityEstimationOverlay - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
Constructor, adhering to Parameterizable
DensityEstimationOverlay.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density
Instance for a particular data set.
DensityEstimationOverlay.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
Constructor.
DEPENDENCY_DERIVATOR_RANDOM_SAMPLE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Flag to use random sample (use knn query around centroid, if flag is not set).
DependencyDerivator<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DependencyDerivator(PrimitiveDistanceFunction<V, D>, NumberFormat, PCAFilteredRunner<V>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Constructor.
dependencyDerivator - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP
Holds the object performing the dependency derivation
DependencyDerivator.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization class.
DependencyDerivator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
 
depth() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
The length of the hierarchy of names.
depth - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
 
deref(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Dereference a DBID reference.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
 
descend(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
 
describeParameterizable(StringBuilder, Class<?>, int, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil
Format a description of a Parameterizable (including recursive options).
Description - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation
Class/algorithm description
description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
The description of the OptionID.
DESCRIPTION_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
Optional Parameter to specify a class to obtain a description for.
deselectAllSegments() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
Deselect all currently selected segments
deselectSegment(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
Deselect a segment
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
 
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
 
destroy() - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore
Deallocate the storage, freeing the memory and notifies the registered listeners.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Remove the listeners
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Cleanup function.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
 
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
 
destroy() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization
Destroy the visualization.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
 
destroyToNaiveMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the population statistics: n degrees of freedom.
destroyToSampleMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the sample statistics: (n-1) degrees of freedom.
destroyVisualizations() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
 
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Destination (minimum) size of the structure.
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition
Determinant
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Matrix determinant
detachPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas
Execute the detaching event.
DetailView - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail
Manages a detail view.
DetailView(VisualizerContext, PlotItem, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Constructor.
DetailView.InsertVisualization - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail
Class used to insert a new visualization layer
DetailView.InsertVisualization(Visualization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView.InsertVisualization
Visualization.
DetailViewSelectedEvent - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview
Event when a particular subplot was selected.
DetailViewSelectedEvent(OverviewPlot, int, String, int, PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent
Constructor.
determineAlphaMax(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines a basis defining a subspace described by the specified alpha values.
determineClusters() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.
determineClusters(List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the clusters in the specified dense subspaces.
determineGlobalExtremum() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the global extremum of this parameterization function.
determineGlobalExtremumType() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the type of the global extremum.
determineIDs(DBIDs, HyperBoundingBox, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
Determines the ids belonging to the given interval, i.e. the parameterization functions falling within the interval.
determineLowerAndUpperHull(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
Computes the lower and upper hull of the specified distances.
determineMinMaxDistance(Relation<ParameterizationFunction>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines the minimum and maximum function value of all parameterization functions stored in the specified database.
determineNextIntervalAtMaxLevel(ObjectHeap<IntegerPriorityObject<CASHInterval>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects.
determinePreferenceVector(Relation<V>, ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(Relation<V>, DBIDRef, DBIDs, StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(Relation<V>, ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector with the max intersection strategy.
devianceTerm(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
Evaluate the deviance term of the saddle point approximation.
deviation(Vector, Matrix) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
Deviation from a manifold described by beta.
deviation(double[], double[]) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.tests.GoodnessOfFitTest
Measure the deviation of a full sample from a conditional sample.
deviation(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest
 
deviation(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest
 
dfs(CLIQUEUnit<V>, ModifiableDBIDs, CLIQUESubspace<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Depth-first search algorithm to find connected dense units in this subspace that build a cluster.
diagonal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
diagonal(Vector) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
diagonal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
DIALOG_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
DIALOG_INFORMATION - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
DIALOG_WARNING - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
diameter - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
Data space diameter
difference(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Returns the difference of the two specified collection of IDs.
digamma(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
Compute the Psi / Digamma function Reference: J.
DIGITS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer
Parameter for the gamma-correction.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering
Dimension to use for clustering.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer
Dimension to use for clustering.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
Database dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator
Dimensionality of data set
dim - Variable in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMaxComparator
Current dimension.
dim - Variable in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMeanComparator
Current dimension.
dim - Variable in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMinComparator
Current dimension.
dim - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
The dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseCDFNormalization.Adapter
Dimension to process.
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Actual dataset dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection
Dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
Dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
The dimension to be considered for distance computation.
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
 
dim() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.DecreasingVectorIter
 
dim() - Method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC.IncreasingVectorIter
 
dim(int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
Get the dimension at position idx.
dim(int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.FullDimensionSimilarityMatrix
 
dim(int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix
 
dim - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
the dimensionality of the transformation
dim - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Cand
Dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
Dimension.
dim1 - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
Dimensions for fast projection mode.
dim2 - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D
Dimensions for fast projection mode.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer
Dimension to use for clustering.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer
Desired dimensionality.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
Database to specify the random vector dimensionality.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Parameter for dimensionality.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.Interval
The dimension of this interval in the (original) data space.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.model.DimensionModel
Number of dimensions
dimension - Variable in class de.lmu.ifi.dbs.elki.index.vafile.DAFile
Dimension of this approximation file.
dimensionality(Relation<ParameterizationFunction>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Get the dimensionality of a vector field.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.BitVector
Dimensionality of this bit vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector
The dimensionality of this feature vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
The dimensionality of this feature vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
The dimensionality of this feature vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
The dimensionality of this feature vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector
The dimensionality of this feature vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.Subspace
The dimensionality of this subspace.
dimensionality() - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns the dimensionality of this subspace.
dimensionality(Relation<? extends FeatureVector<?>>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil
Get the dimensionality of a database relation.
dimensionality(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
Get the common dimensionality of the two objects.
dimensionality(SpatialComparable, SpatialComparable, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
Get the common dimensionality of the two objects.
dimensionality(NumberVector<?>, NumberVector<?>) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
Get the common dimensionality of the two objects.
dimensionality(NumberVector<?>, NumberVector<?>, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
Get the common dimensionality of the two objects.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
The dimensionality of the feature space (needed for serialization).
dimensionality - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveTransformer
Dimensionality.
dimensionality(Relation<V>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
Deprecated.
DIMENSIONALITY_ID - Static variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer
Parameter for the desired output dimensionality.
dimensionIsRelevant(int, Relation<V>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.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 de.lmu.ifi.dbs.elki.data.model
Cluster model just providing a cluster dimensionality.
DimensionModel(Integer) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DimensionModel
Constructor
dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.ClusterCandidate
Selected dimensions
dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster
The correlated dimensions of this cluster.
dimensions - Variable in class de.lmu.ifi.dbs.elki.data.Subspace
The dimensions building this subspace.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
The dimensions to be considered for distance computation.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer
 
DimensionSelectingDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
DimensionSelectingDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Constructor.
DimensionSelectingDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
DimensionSelectingDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
 
DimensionSelectingLatLngDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
Distance function for 2D vectors in Latitude, Longitude form.
DimensionSelectingLatLngDistanceFunction(int, int, EarthModel) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Constructor.
DimensionSelectingLatLngDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
Parameterization class.
DimensionSelectingLatLngDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
 
DimensionSelectingSubspaceDistanceFunction<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Interface for dimension selecting subspace distance functions.
DimensionSimilarity<V> - Interface in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Interface for computing pairwise dimension similarities, used for arranging dimensions in parallel coordinate plots.
DimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Class representing a similarity matrix between dimensions.
DimensionSimilarityMatrix(int) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.FullDimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Complete matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.FullDimensionSimilarityMatrix(int) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.FullDimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Partial matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix(int[]) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.PrimAdapter - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Adapter class for running prim's algorithm.
DimensionSimilarityMatrix.PrimAdapter() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter
Constructor.
dimensionToInterval - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Provides a mapping of particular dimensions to the intervals of which this unit is build.
dimensonsToString() - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns a string representation of the dimensions of this subspace separated by comma.
dimensonsToString(String) - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns a string representation of the dimensions of this subspace.
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Latitude dimension.
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
Latitude dimension.
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Longitude dimension.
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
Longitude dimension.
dimOrder - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
Ordering of dimensions
dims - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection.Parameterizer
Dimensions to select.
dims - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection.Parameterizer
Dimensions to select.
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter
Selected dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter.Parameterizer
Dimensions to use.
dims - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
The number of dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.FullDimensionSimilarityMatrix
Number of dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix
Enumeration of dimensions to use (so we could use a subset only!)
dims - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid
The selected dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection
Input dimensions.
DIMS_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
Dimensions parameter.
DIR_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer
Insertion strategy for directory nodes.
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
The capacity of a directory node (= 1 + maximum number of entries in a directory node).
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
The capacity of a directory node (= 1 + maximum number of entries in a directory node).
DirectoryEntry - Interface in de.lmu.ifi.dbs.elki.index.tree
Directory Entry
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
The minimum number of entries in a directory node.
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
The minimum number of entries in a directory node.
dirStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy
Strategy when inserting into directory nodes
dirStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer
Strategy when inserting into directory nodes
dirty - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
The dirty flag of this page.
DISABLE_REFINE_FLAG - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer
Option ID for disabling refinement.
disableInteractions - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Flag whether Batik interactions should be disabled.
disableStart() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Disable capturing of 'mousedown' events.
disableStop() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Disable capturing of 'mousemove' and 'mouseup' events.
discarded - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Discarded count
DiscardResultHandler - Class in de.lmu.ifi.dbs.elki.result
A dummy result handler that discards the actual result, for use in benchmarks.
DiscardResultHandler() - Constructor for class de.lmu.ifi.dbs.elki.result.DiscardResultHandler
Default constructor.
DiSH<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Algorithm for detecting subspace hierarchies.
DiSH(double, DiSHDistanceFunction, Collection<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Constructor.
DiSH.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Parameterization class.
DiSH.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
 
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
The distance function we use
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
 
DiSHDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Distance function used in the DiSH algorithm.
DiSHDistanceFunction(DiSHPreferenceVectorIndex.Factory<NumberVector<?>>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction
Constructor.
DiSHDistanceFunction.Instance<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
The actual instance bound to a particular database.
DiSHDistanceFunction.Instance(Relation<V>, DiSHPreferenceVectorIndex<V>, double, DiSHDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Instance
Constructor.
DiSHDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
DiSHDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Parameterizer
 
DiSHPreferenceVectorIndex<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Preprocessor for DiSH preference vector assignment to objects of a certain database.
DiSHPreferenceVectorIndex(Relation<V>, DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Constructor.
DiSHPreferenceVectorIndex.Factory<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Factory class.
DiSHPreferenceVectorIndex.Factory(DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
Constructor.
DiSHPreferenceVectorIndex.Factory.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Parameterization class.
DiSHPreferenceVectorIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer
 
DiSHPreferenceVectorIndex.Strategy - Enum in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Available strategies for determination of the preference vector.
DiSHPreferenceVectorIndex.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Strategy
 
DiskCacheBasedDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
DiskCacheBasedDoubleDistanceFunction(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Constructor.
DiskCacheBasedDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
DiskCacheBasedDoubleDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer
 
DiskCacheBasedFloatDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.
DiskCacheBasedFloatDistanceFunction(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Constructor.
DiskCacheBasedFloatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
DiskCacheBasedFloatDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer
 
dispose() - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
 
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
 
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Cancel the overview, i.e. stop the thumbnailer
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
 
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
 
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Clean up the plot.
dissimilarityMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
Returns the dissimilarity matrix (M_czech) of this LocalPCA.
dist - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch
Distribution to sample random replacement values from.
dist - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
Distribution of replacement values.
dist - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP
Type of distribution to assume for distances.
dist - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer
Distance distributution assumption.
dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ReplaceNaNWithRandomFilter
Distribution to generate replacement values with.
dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.ReplaceNaNWithRandomFilter.Parameterizer
Distribution to generate replacement values with.
dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
Distance function to use.
dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer
Distance function to use.
dist - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.WorstCaseDistComparator
 
dist - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Distance type
dist - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling
Score distribution.
dist - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
Drawing mode (distance) to use
DIST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer
Parameter to specify the distribution of replacement values when masking a cluster.
DIST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer
Distribution assumption for distances.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
Distance function.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian.Parameterizer
istance function.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer
 
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair
The current distance.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer
 
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
Distance in use.
distance - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer
Distance in use.
distance(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the distance of NumberVector p from the hyperplane underlying this solution.
distance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the distance of Matrix p from the hyperplane underlying this solution.
distance - Variable in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
Distance to child cluster
distance - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DistanceIntegerDBIDPair
The distance value.
distance - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
The distance value.
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
 
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
 
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
 
distance(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
 
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
 
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
 
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDDistanceFunction
 
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
 
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
 
distance(NumberVector<?>, NumberVector<?>, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction
Computes the distance between two given DatabaseObjects according to this distance function.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance
Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
 
distance(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DBIDDistanceFunction
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Returns the distance between the two objects specified by their objects ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Returns the distance between the two objects specified by their objects ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
Returns the distance between the two objects specified by their objects ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
Returns the distance between the two objects specified by their objects ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
Computes the distance between two given real vectors according to this distance function.
distance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Instance
 
distance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
 
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction
Computes the distance between two given DatabaseObjects according to this distance function.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance
 
distance(String, String) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction
 
distance(String, String) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction
 
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Instance
Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Instance
Computes the distance between two given DatabaseObjects according to this distance function.
Distance<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancevalue
The interface Distance defines the requirements of any instance class.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.JaccardPrimitiveSimilarityFunction
 
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Returns the distance between the two specified ids.
distance(E, E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Returns the distance between the routing object of two entries.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
 
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
 
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.DistanceEntry
The distance value belonging to the entry.
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry
Distance value
distance(DimensionSimilarityMatrix, int, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter
 
distance(T, int, int) - Method in interface de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Adapter
Get the distance of two objects
distance(double[][], int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter
 
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
The distance function to determine the distance between database objects.
DISTANCE_FUNCTION_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance
OptionID for the base distance used to compute reachability
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
Parameter to specify the similarity function to derive the distance between database objects from.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian.Parameterizer
Parameter for the distance function.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer
Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer
Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer
Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer
Similarity measure
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer
Distant metric.
DISTANCE_ID - Static variable in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParser
Parameter for distance function.
distanceAdapter - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
The mapping from cluster order entry to value
DistanceBasedAlgorithm<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.algorithm
Very broad interface for distance based algorithms.
DistanceBasedInitializationWithMedian<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Distance based initialization.
DistanceBasedInitializationWithMedian(DistanceFunction<? super O, D>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
Constructor.
DistanceBasedInitializationWithMedian.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
Parameterization class.
DistanceBasedInitializationWithMedian.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian.Parameterizer
 
distanceCache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParsingResult
The cache of precomputed distances between the database objects.
distanceCalcs - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics
For counting the number of distance computations.
distanceCalcs - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics
For counting the number of distance computations.
distanceComparator() - Static method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
Get a comparator to sort by distance, then DBID
DistanceDBIDList<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Collection of objects and their distances.
DistanceDBIDListIter<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Iterator over distance-based query results.
DistanceDBIDPair<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Pair containing a distance an an object ID Note: there is no getter for the object, as this is a DBIDRef.
DistanceDBIDPairKNNHeap<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Heap for collecting kNN candidates with arbitrary distance types.
DistanceDBIDPairKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNHeap
Constructor.
DistanceDBIDPairKNNList<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Finalized KNN List.
DistanceDBIDPairKNNList(KNNHeap<D>) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList
Constructor, to be called from KNNHeap only.
DistanceDBIDPairKNNList(Heap<? extends DistanceDBIDPair<D>>, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList
Constructor.
DistanceDBIDPairKNNList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Iterator.
DistanceDBIDPairKNNList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DistanceDBIDPairKNNList.Itr
 
DistanceDBIDResultUtil - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Utility classes for distance DBID results.
DistanceDBIDResultUtil() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
 
distanceDeg(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
 
distanceDeg(double, double, double, double) - Method in interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel
Compute the geodetic distance between two surface coordinates.
DistanceEntry<E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split
Helper class: encapsulates an entry in an Index and a distance value belonging to this entry.
DistanceEntry(E, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.DistanceEntry
Constructs a new DistanceEntry object with the specified parameters.
distanceFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
The distance function.
distanceFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer
The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
Holds the instance of the distance function specified by DistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer
The distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm
Holds the instance of the distance function specified by DistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
Distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering
The euclidean distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
Holds the instance of the distance function specified by AbstractProjectedDBSCAN.INNER_DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer
 
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_ID.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer
The distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer
The distance function to use on the non-spatial attributes.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery
The distance function we use.
DistanceFunction<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Base interface for any kind of distances.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
Holds the similarity function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer
The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
The distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings
Holds the instance of the trees distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert
Distance function to use for measuring
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer
Distance function to use for measuring
DISTANCEFUNCTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
 
distanceFunction - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
Distance function
DISTANCEFUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
Parameter to specify the distance function to use
DistanceFunctionVisualization - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
Constructor
DistanceFunctionVisualization.Instance<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection
Instance, visualizing a particular set of kNNs
DistanceFunctionVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
Constructor
DistanceIntegerDBIDPair<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class storing a double distance a DBID.
DistanceIntegerDBIDPair(D, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DistanceIntegerDBIDPair
Constructor.
DistanceParameter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a double value.
DistanceParameter(OptionID, D, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, DistanceFunction<?, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, D, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, DistanceFunction<?, D>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID.
DistanceParameter(OptionID, DistanceFunction<?, D>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID.
DistanceParser<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.external
A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
DistanceParsingResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a cache of precomputed distances between the database objects.
DistanceParsingResult(Map<DBIDPair, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParsingResult
Provides a list of database objects, a list of label objects associated with these objects and cached distances between these objects.
DistanceQuery<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.database.query.distance
A distance query serves as adapter layer for database and primitive distances.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
The distance query we used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree
Distance query to use.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
The distance query.
distanceRad(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
 
distanceRad(double, double, double, double) - Method in interface de.lmu.ifi.dbs.elki.math.geodesy.EarthModel
Compute the geodetic distance between two surface coordinates.
distanceRad(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel
 
distanceRad(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel
 
distanceRad(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel
 
DistanceSimilarityQuery<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.query
Interface that is a combination of distance and a similarity function.
DistanceStatisticsWithClasses<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Algorithm to gather statistics over the distance distribution in the data set.
DistanceStatisticsWithClasses(DistanceFunction<? super O, D>, int, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
Constructor.
DistanceStatisticsWithClasses.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Parameterization class.
DistanceStatisticsWithClasses.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
 
DistanceStddevOutlier<O,D extends NumberDistance<D,?>> - Class in tutorial.outlier
A simple outlier detection algorithm that computes the standard deviation of the kNN distances.
DistanceStddevOutlier(DistanceFunction<? super O, D>, int) - Constructor for class tutorial.outlier.DistanceStddevOutlier
Constructor.
DistanceStddevOutlier.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.outlier
Parameterization class
DistanceStddevOutlier.Parameterizer() - Constructor for class tutorial.outlier.DistanceStddevOutlier.Parameterizer
 
DistanceUtil - Class in de.lmu.ifi.dbs.elki.distance
Class with distance related utility functions.
DistanceUtil() - Constructor for class de.lmu.ifi.dbs.elki.distance.DistanceUtil
 
distcalc - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
Counter for distance computations.
distf - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
Distance function to use
distf - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
Distance function to use
distf - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexKNNQuery
Distance function
distf - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Distance function
distfun - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer
Distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
Distance function to use
distfunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer
LPNorm distance function
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI
Distance function
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
Distance function
distq - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
Distance query
distq - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery
Distance query for refinement.
distq - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery
Distance query for refinement.
Distribution - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution
Statistical distributions, with their common functions.
DistributionEstimator<D extends Distribution> - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator
Estimate distribution parameters from a sample.
DISTRIBUTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseCDFNormalization.Parameterizer
Parameter for distribution estimators.
dists - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList
Distance values
dists - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.AttributeWiseCDFNormalization
Stores the estimated distributions
dists - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
Distance to the cluster centers.
divide(DBIDArrayIter, double[], ArrayList<DBIDs>, int, int, int, Mean) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity
Recursive call to further subdivide the array.
divided(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic
Divides this number by the given number.
divided(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
 
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
Database dimensionality.
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector
Database dimensionality.
dnum - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
Our dimension, starting with 0
DOC<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Provides the DOC algorithm, and it's heuristic variant, FastDOC.
DOC(double, double, double, boolean, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC
Constructor.
DOC.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Parameterization class.
DOC.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer
 
document - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
SVG document we plot to.
DOCUMENT_OPEN - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
DOCUMENT_PROPERTIES - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
DOCUMENT_SAVE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
DocumentationUtil - Class in de.lmu.ifi.dbs.elki.utilities.documentation
Utilities for extracting documentation from class annotations.
DocumentationUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.documentation.DocumentationUtil
 
DocumentParameters - Class in de.lmu.ifi.dbs.elki.application.internal
Class to generate HTML parameter descriptions for all classes implementing the Parameterizable interface.
DocumentParameters() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
DocumentParameters.SortByOption - Class in de.lmu.ifi.dbs.elki.application.internal
Sort parameters by their option
DocumentParameters.SortByOption() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption
 
DocumentParameters.WikiStream - Class in de.lmu.ifi.dbs.elki.application.internal
Write to a Wiki format.
DocumentParameters.WikiStream(PrintStream) - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
 
DocumentReferences - Class in de.lmu.ifi.dbs.elki.application.internal
Build a reference documentation for all available parameters.
DocumentReferences() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
documentReferences(List<Pair<Reference, List<Class<?>>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
documentReferencesWiki(List<Pair<Reference, List<Class<?>>>>, PrintStream) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
doDelete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Removes the object with the specified id from this database.
doDetermineNextIntervalAtMaxLevel(ObjectHeap<IntegerPriorityObject<CASHInterval>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Recursive helper method to determine the next ''best'' interval at maximum level, i.e. the next interval containing the most unprocessed objects
doExtraIntegrityChecks() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Perform additional integrity checks.
dof - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution
Degrees of freedom.
dof - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution.Parameterizer
Parameters.
dof - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution.Parameterizer
Parameters.
DOF_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution.Parameterizer
Degrees of freedom parameter.
dofit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Which parameters to fit
DOMCloner - Class in de.lmu.ifi.dbs.elki.utilities.xml
Class for cloning XML document, with filter capabilites
DOMCloner() - Constructor for class de.lmu.ifi.dbs.elki.utilities.xml.DOMCloner
 
DONT_CARE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier
Symbolic value for subspaces not in use.
doRangeQuery(DBID, AbstractMTreeNode<O, DoubleDistance, ?, ?>, O, double, ModifiableDoubleDistanceDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Performs a range query on the specified subtree.
doRangeQuery(DBID, AbstractMTreeNode<O, D, ?, ?>, O, D, GenericDistanceDBIDList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery
Performs a range query on the specified subtree.
doRangeQuery(O, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Perform the actual query process.
doRangeQuery(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery
Perform the actual query process.
doReverseKNNQuery(int, DBIDRef, GenericDistanceDBIDList<D>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Performs a reverse knn query.
doReverseKNNQuery(DBIDRef, MkMaxTreeNode<O, D>, MkMaxEntry, ModifiableDistanceDBIDList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
Performs a reverse k-nearest neighbor query in the specified subtree for the given query object with k = AbstractMkTreeUnified.getKmax().
doReverseKNNQuery(int, DBIDRef, MkTabEntry, MkTabTreeNode<O, D>, GenericDistanceDBIDList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Performs a k-nearest neighbor query in the specified subtree for the given query object and the given parameter k.
doRun(Relation<ParameterizationFunction>, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.
doRunInTime(DBIDs, KNNQuery<O, D>, KNNQuery<O, D>, StepProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.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.
doSetParameters(List<String>) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI
Do the actual setParameters invocation.
dotcolor - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary
Color of "uncolored" dots
dotcolor - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.SolidLineStyleLibrary
Color of "uncolored" dots
dotcolor - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.CircleMarkers
Color of "uncolored" dots
dotcolor - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.MinimalMarkers
Color of "uncolored" dots
dotcolor - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers
Color of "uncolored" dots
doThumbnail() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread.Listener
Callback when to (re-)compute the thumbnail.
doThumbnail() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
 
DOTMARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
Generic tag to indicate the type of element.
DOTPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary
Dot size
dotTableModel - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
The table model
DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Double type, outlier scores etc.
DOUBLE_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Adapter for double arrays.
DOUBLE_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Magic to identify double cache matrices
DOUBLE_NULL - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.JaccardPrimitiveSimilarityFunction
Constants for checking null.
DOUBLE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance
Pattern for parsing and validating double values
DOUBLE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil
Static instance.
DOUBLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Storage required for a double value.
DOUBLE_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require number vector fields.
DOUBLEARRAYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use a double array in the array API.
doubleArrayAdapter() - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the adapter for double arrays.
DoubleArrayAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Use a double array as, well, double array in the ArrayAdapter API.
DoubleArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArrayAdapter
Constructor.
DoubleArrayStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram containing an array of doubles (i.e.
DoubleArrayStaticHistogram(int, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram
Constructor.
doubleCenterSymmetric(double[][]) - Static method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform
Double-center the given matrix (only upper triangle is used).
DoubleDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
Double-valued data store (avoids boxing/unboxing).
DoubleDBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids
Pair of a double value and a DBID
doubleDistance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDListIter
Get the distance
doubleDistance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPair
Get the distance.
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap.Itr
 
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList.Itr
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction
Computes the squared Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction
Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction
Computes the squared Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
 
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction
 
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
 
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction
 
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
Provides the squared Euclidean distance between the given two vectors.
doubleDistance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDoubleDistanceFunction
Computes the distance between two given Objects according to this distance function.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Computes the distance between two given DatabaseObjects according to this distance function.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
Provides the Euclidean distance between two given feature vectors in the selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
Provides the Euclidean distance between two given feature vectors in the selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
Provides the Euclidean distance between two given feature vectors in the selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
Provides the Euclidean distance between two given feature vectors in the selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
Provides the Dynamic Time Warping distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
Provides the Edit Distance on Real Sequence distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
Provides the Edit Distance With Real Penalty distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
Provides the Longest Common Subsequence distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction
 
DoubleDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
Provides a Distance for a double-valued distance.
DoubleDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
Empty constructor for serialization purposes.
DoubleDistance(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
Constructs a new DoubleDistance object that represents the double argument.
doubleDistance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.JaccardPrimitiveSimilarityFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class tutorial.distancefunction.MultiLPNorm
 
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class tutorial.distancefunction.TutorialDistanceFunction
 
DoubleDistanceClusterOrderEntry - Class in de.lmu.ifi.dbs.elki.result.optics
Provides an entry in a cluster order.
DoubleDistanceClusterOrderEntry(DBID, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry
Creates a new entry in a cluster order with the specified parameters.
DoubleDistanceDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
Double-valued data store (avoids boxing/unboxing).
DoubleDistanceDBIDList - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
An object containing Double-DBID-Pairs.
DoubleDistanceDBIDListIter - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Iterator for double valued distance-based query results.
DoubleDistanceDBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Pair containing a double distance a DBID.
DoubleDistanceDBIDPairKNNHeap - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Heap for collecting double-valued KNN instances.
DoubleDistanceDBIDPairKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap
Constructor.
DoubleDistanceDBIDPairKNNHeap.Comp - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Comparator to use.
DoubleDistanceDBIDPairKNNHeap.Comp() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap.Comp
 
DoubleDistanceDBIDPairKNNHeap.RComp - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Comparator to use.
DoubleDistanceDBIDPairKNNHeap.RComp() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap.RComp
 
DoubleDistanceDBIDPairKNNList - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Finalized KNN List.
DoubleDistanceDBIDPairKNNList(Collection<DoubleDistanceDBIDPair>, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
Constructor.
DoubleDistanceDBIDPairKNNList(DoubleDistanceDBIDPairKNNHeap) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
Constructor, to be called from KNNHeap only.
DoubleDistanceDBIDPairKNNList(Heap<DoubleDistanceDBIDPair>, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
Constructor, to be called from KNNHeap only.
DoubleDistanceDBIDPairKNNList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Iterator.
DoubleDistanceDBIDPairKNNList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList.Itr
 
DoubleDistanceDBIDPairKNNListHeap - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Finalized KNN List.
DoubleDistanceDBIDPairKNNListHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
Constructor.
DoubleDistanceDBIDPairKNNListHeap.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Iterator.
DoubleDistanceDBIDPairKNNListHeap.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap.Itr
 
DoubleDistanceDBIDPairList - Class in de.lmu.ifi.dbs.elki.database.ids.distance
Default class to keep a list of distance-object pairs.
DoubleDistanceDBIDPairList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList
Constructor.
DoubleDistanceDBIDPairList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList
Constructor.
DoubleDistanceDBIDPairList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.distance
Iterator class.
DoubleDistanceDBIDPairList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceDBIDPairList.Itr
 
DoubleDistanceIntegerDBIDKNNHeap - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class to efficiently manage a kNN heap.
DoubleDistanceIntegerDBIDKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
Constructor.
DoubleDistanceIntegerDBIDKNNList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
kNN list, but without automatic sorting.
DoubleDistanceIntegerDBIDKNNList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNList
Constructor.
DoubleDistanceIntegerDBIDKNNList(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNList
Constructor.
DoubleDistanceIntegerDBIDList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class to store double distance, integer DBID results.
DoubleDistanceIntegerDBIDList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList
Constructor.
DoubleDistanceIntegerDBIDList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList
Constructor.
DoubleDistanceIntegerDBIDList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
List iterator.
DoubleDistanceIntegerDBIDList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDList.Itr
Constructor.
DoubleDistanceIntegerDBIDListIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Combination interface.
DoubleDistanceIntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class storing a double distance a DBID.
DoubleDistanceIntegerDBIDPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
Constructor.
DoubleDistanceIntegerDBIDPairKNNListHeap - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Finalized KNN List.
DoubleDistanceIntegerDBIDPairKNNListHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
Constructor.
DoubleDistanceIntegerDBIDPairKNNListHeap.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator.
DoubleDistanceIntegerDBIDPairKNNListHeap.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap.Itr
 
DoubleDistanceIntegerDBIDPairList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class to store double distance, integer DBID results.
DoubleDistanceIntegerDBIDPairList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList
Constructor.
DoubleDistanceIntegerDBIDPairList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList
Constructor.
DoubleDistanceIntegerDBIDPairList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
List iterator.
DoubleDistanceIntegerDBIDPairList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairList.Itr
 
DoubleDistanceIntegerDBIDSortedKNNList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Track the k nearest neighbors, with insertion sort to ensure the correct order.
DoubleDistanceIntegerDBIDSortedKNNList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDSortedKNNList
Constructor.
DoubleDistanceKNNHeap - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Interface for kNN heaps storing double distances and DBIDs.
DoubleDistanceKNNList - Interface in de.lmu.ifi.dbs.elki.database.ids.distance
Double-valued KNN result.
DoubleDistanceKNNSubList - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Sublist of an existing result to contain only the first k elements.
DoubleDistanceKNNSubList(DoubleDistanceKNNList, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList
Constructor.
DoubleDistanceKNNSubList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.generic
Iterator for the sublist.
DoubleDistanceKNNSubList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList.Itr
 
DoubleDistanceMetricalIndexKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query
Instance of a KNN query for a particular spatial index.
DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O, DoubleDistance, ?, ?, ?>, DistanceQuery<O, DoubleDistance>, PrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexKNNQuery
Constructor.
DoubleDistanceMetricalIndexRangeQuery<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query
Instance of a range query for a particular spatial index.
DoubleDistanceMetricalIndexRangeQuery(AbstractMTree<O, DoubleDistance, ?, ?, ?>, DistanceQuery<O, DoubleDistance>, PrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Constructor.
DoubleDistanceRStarTreeKNNQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Instance of a KNN query for a particular spatial index.
DoubleDistanceRStarTreeKNNQuery(AbstractRStarTree<?, ?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
Constructor.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Optimized double distance entry implementation.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry(SpatialEntry, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry
Constructor.
DoubleDistanceRStarTreeRangeQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Instance of a range query for a particular spatial index.
DoubleDistanceRStarTreeRangeQuery(AbstractRStarTree<?, ?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Constructor.
DoubleDistanceSearchCandidate - Class in de.lmu.ifi.dbs.elki.index.tree.query
Candidate for expansion in a distance search (double optimized implementation).
DoubleDistanceSearchCandidate(double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.query.DoubleDistanceSearchCandidate
Constructor.
DoubleDoublePair - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing two doubles.
DoubleDoublePair(double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
Constructor
DoubleDoublePair(DoubleDoublePair) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
Clone constructor.
DoubleDynamicHistogram - Class in de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Constructor.
DoubleHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap for double values.
DoubleHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram storing double values.
DoubleHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator interface.
DoubleIntegerArrayQuickSort - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class to sort a double and an integer DBID array, using a quicksort with a best of 5 heuristic.
DoubleIntegerArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerArrayQuickSort
 
DoubleIntegerHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap interface, for double keys and int values.
DoubleIntegerHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleIntegerMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleIntegerMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
Constructor, with default size.
DoubleIntegerMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
Constructor, with given minimum size.
DoubleIntegerMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleIntegerMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter
 
DoubleIntegerMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleIntegerMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
Constructor, with default size.
DoubleIntegerMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
Constructor, with given minimum size.
DoubleIntegerMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleIntegerMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter
 
DoubleIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing an integer and a double.
DoubleIntPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
Constructor
doubleKNNDistance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceKNNHeap
Get the distance to the k nearest neighbor, or maxdist otherwise.
doubleKNNDistance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.distance.DoubleDistanceKNNList
Get the kNN distance as double value.
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNHeap
Get the distance to the k nearest neighbor, or maxdist otherwise.
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNList
 
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceDBIDPairKNNListHeap
 
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.DoubleDistanceKNNSubList
 
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNHeap
 
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDKNNList
 
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPairKNNListHeap
 
DoubleListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a list of double values.
DoubleListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter
Constructs a list parameter with the given optionID and optional flag.
DoubleListParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter
Constructs a list parameter with the given optionID.
DoubleLongHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap interface, for double keys and long values.
DoubleLongHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleLongMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleLongMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
Constructor, with default size.
DoubleLongMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
Constructor, with given minimum size.
DoubleLongMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleLongMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter
 
DoubleLongMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleLongMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
Constructor, with default size.
DoubleLongMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
Constructor, with given minimum size.
DoubleLongMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleLongMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter
 
DoubleMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
Constructor, with default size.
DoubleMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
Constructor, with given minimum size.
DoubleMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDoubleDistanceFunction
Computes the distance between the two given MBRs according to this distance function.
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
 
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction
 
doubleMinDistObject(NumberVector<?>, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
 
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
 
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
 
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
 
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
 
DoubleMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
Constructor, with default size.
DoubleMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
Constructor, with given minimum size.
DoubleMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter
 
DoubleMinMax - Class in de.lmu.ifi.dbs.elki.math
Class to find the minimum and maximum double values in data.
DoubleMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Constructor without starting values.
DoubleMinMax(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Constructor with predefined minimum and maximum values.
DoubleMTreeDistanceSearchCandidate - Class in de.lmu.ifi.dbs.elki.index.tree.query
Encapsulates the attributes for a object that can be stored in a heap.
DoubleMTreeDistanceSearchCandidate(double, int, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate
Creates a new heap node with the specified parameters.
DoubleNorm<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Interface for norms in the double domain.
doubleNorm(O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DoubleNorm
Compute the norm of object obj as double value.
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
 
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction
 
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
 
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction
 
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
 
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
 
DoubleObjectHeap<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap interface, for double keys and V values.
DoubleObjectHeap.UnsortedIter<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleObjectMaxHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleObjectMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
Constructor, with default size.
DoubleObjectMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
Constructor, with given minimum size.
DoubleObjectMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleObjectMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter
 
DoubleObjectMinHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
DoubleObjectMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
Constructor, with default size.
DoubleObjectMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
Constructor, with given minimum size.
DoubleObjectMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
DoubleObjectMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter
 
DoubleObjPair<O> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing a native double value and an arbitrary object.
DoubleObjPair(double, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair
Constructor.
doubleOptimize - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Use optimizations for double values
DoubleOptimizedDistanceKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.knn
Optimized linear scan query for PrimitiveDoubleDistanceFunctions.
DoubleOptimizedDistanceKNNQuery(PrimitiveDistanceQuery<O, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.DoubleOptimizedDistanceKNNQuery
Constructor.newDoubleDistanceHeap
DoubleOptimizedDistanceRangeQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.range
Default linear scan range query class.
DoubleOptimizedDistanceRangeQuery(DistanceQuery<O, DoubleDistance>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.range.DoubleOptimizedDistanceRangeQuery
Constructor.
DoubleParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a double value.
DoubleParameter(OptionID, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
Constructs a double parameter with the given optionID and default value.
DoubleParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
Constructs a double parameter with the given optionID.
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
Compute unscaled distance in a range of dimensions.
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doublePreDistance(NumberVector<?>, NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
Compute unscaled distance in a range of dimensions.
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doublePreDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
Compute unscaled distance in a range of dimensions.
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doublePreDistanceVM(NumberVector<?>, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
Compute unscaled norm in a range of dimensions.
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doublePreNorm(NumberVector<?>, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
Compute unscaled norm in a range of dimensions.
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
 
doublePreNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
 
DoublePriorityObject<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Object for a priority queue with integer priority.
DoublePriorityObject(double, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoublePriorityObject
Constructor.
doubleSimilarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.JaccardPrimitiveSimilarityFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction
 
doubleSimilarity(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski2SimilarityFunction
 
doubleSimilarity(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.PrimitiveDoubleSimilarityFunction
Computes the similarity between two given Objects according to this similarity function.
doubleSimilarityNumberVector(NumberVector<?>, NumberVector<?>) - Static method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.JaccardPrimitiveSimilarityFunction
Compute Jaccard similarity for two number vectors.
DoubleStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram class storing double values.
DoubleStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram
Constructor.
DoubleStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator class.
DoubleStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram.Iter
 
DoubleStatistic - Class in de.lmu.ifi.dbs.elki.logging.statistics
Trivial double-valued statistic.
DoubleStatistic(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.DoubleStatistic
Constructor.
DoubleStatistic(String, double) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.DoubleStatistic
Constructor.
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
Provides a double value for the integer representation of this Bit as given by intValue().
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
 
doubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the value in the specified dimension as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Returns the double value representation of this RationalNumber.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
Deprecated.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
Deprecated.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
Deprecated.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
Deprecated.
doubleValue(int) - Method in interface de.lmu.ifi.dbs.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 de.lmu.ifi.dbs.elki.data.SparseShortVector
Deprecated.
doubleValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DoubleDataStore
Retrieves an object from the storage.
doubleValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DoubleDistanceDataStore
Retrieves an object from the storage.
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
 
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
 
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
 
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
 
doubleValue() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDPair
Get the double value of the pair.
doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDoubleDBIDPair
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance
Get the value as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
 
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
 
doubleValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
Get the parameter value as double.
DoubleVector - Class in de.lmu.ifi.dbs.elki.data
A DoubleVector is to store real values approximately as double values.
DoubleVector(double[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Private constructor.
DoubleVector(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Provides a DoubleVector consisting of the given double values.
DoubleVector(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Expects a matrix of one column.
DoubleVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for Double vectors.
DoubleVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
 
DoubleVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
DoubleVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory.Parameterizer
 
DoubleVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense double vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
DoubleVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
 
DoubleVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense double vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
DoubleVector.SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
 
DoubleVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for variable dimensionality by using VarInt encoding.
DoubleVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer
 
DoubleVectorLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Deprecated.
Use NumberVectorLabelParser instead, which defaults to DoubleVector.
DoubleVectorLabelParser(Pattern, String, Pattern, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser
Deprecated.
Constructor.
DoubleVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser
Deprecated.
Constructor with default values.
DoubleVectorLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
Deprecated.
Parameterization class.
DoubleVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser.Parameterizer
Deprecated.
 
DOWN - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow
Constant for "down"
downsample(Object[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Perform downsampling on a number of bins.
downsample(double[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Perform downsampling on a number of bins.
downsample(float[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Perform downsampling on a number of bins.
downsample(int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Perform downsampling on a number of bins.
downsample(long[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Perform downsampling on a number of bins.
downsample(short[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Perform downsampling on a number of bins.
DragableArea - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
A simple dragable area for Batik.
DragableArea(SVGPlot, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea.DragListener - Interface in de.lmu.ifi.dbs.elki.visualization.batikutil
Listener interface for drag events.
drawArc(SVGPath, Vector, Vector, Vector, Vector, Vector, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.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 de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis
Plot an axis with appropriate scales
drawClusteringInfo() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
 
drawClusters(Clustering<OPTICSModel>, Hierarchy.Iter<Cluster<OPTICSModel>>, int, Map<Cluster<?>, String>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
Recursively draw clusters
drawCosine(SVGPlot, Projection2D, NumberVector<?>, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
Visualizes Cosine and ArcCosine distance functions
drawCross(SVGPlot, Projection2D, NumberVector<?>, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "cross" hypersphere
drawDelaunay(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Draw the Delaunay triangulation.
drawEuclidean(SVGPlot, Projection2D, NumberVector<?>, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "euclidean" hypersphere
drawFakeVoronoi(Projection2D, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Fake Voronoi diagram.
drawFilled(SVGPlot, String, Projection2D, double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Filled hypercube.
drawFilled(SVGPlot, String, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Filled hypercube.
drawFrame(SVGPlot, Projection2D, double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Wireframe hypercube.
drawFrame(SVGPlot, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Wireframe hypercube.
drawHierarchy(SVGPlot, MarkerLibrary, DoubleDoublePair, DoubleDoublePair, int, Cluster<Model>, TObjectIntMap<Cluster<Model>>, Hierarchy<Cluster<Model>>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
 
drawHullArc(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
drawHullLines(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
drawLine(int, int, int, int, boolean[][]) - Static method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity
Draw a line onto the array, using the classic Bresenham algorithm.
drawLine(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
Draw a single line.
drawLine(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
Draw a single line.
drawLp(SVGPlot, Projection2D, NumberVector<?>, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "Lp" hypersphere
drawManhattan(SVGPlot, Projection2D, NumberVector<?>, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "manhattan" hypersphere
drawSegments() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Create the segments
drawSphere2D(int, Vector, Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
drawStyle - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
 
drawTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawVoronoi(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Draw a Voronoi diagram
dropdownEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor
The dropdown editor
DropEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
The "drop" filter looks for the largest drop in normalized relative eigenvalues.
DropEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter
Constructor.
DropEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Parameterization class.
DropEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer
 
dropfirst - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FarthestPointsInitialMeans
Discard the first vector.
dropfirst - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FarthestPointsInitialMeans.Parameterizer
Flag for discarding the first object chosen.
DROPFIRST_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.FarthestPointsInitialMeans.Parameterizer
Option ID to control the handling of the first object chosen.
DropNaNFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter
A filter to drop all records that contain NaN values.
DropNaNFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DropNaNFilter
Constructor.
DropNaNFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter
Parameterization class.
DropNaNFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.DropNaNFilter.Parameterizer
 
dstColorModel - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
Destination color model
DTWDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Provides the Dynamic Time Warping distance for FeatureVectors.
DTWDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
Constructor.
DTWDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Parameterization class.
DTWDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction.Parameterizer
 
DummyAlgorithm<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm
Dummy algorithm, which just iterates over all points once, doing a 10NN query each.
DummyAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm
Constructor.
dumpDebugFile() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Dump the SVG plot to a debug file.
Duration - Interface in de.lmu.ifi.dbs.elki.logging.statistics
Class that tracks the duration of a task.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea.DragListener
Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Method called during drags.
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance
 
duringDrag(SVGPoint, SVGPoint, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance
 
DWOF<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Algorithm to compute dynamic-window outlier factors in a database based on a specified parameter DWOF.Parameterizer.K_ID (-dwof.k).
DWOF(DistanceFunction<? super O, D>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
Constructor.
DWOF.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier
Parameterization class.
DWOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF.Parameterizer
 
DYNAMIC_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
The public instance to use for dynamic serialization.
dynamicids - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory
Keep track of the smallest dynamic DBID offset not used.
DynamicIndex - Interface in de.lmu.ifi.dbs.elki.index
Index that supports dynamic insertions and removals.
DynamicParameters - Class in de.lmu.ifi.dbs.elki.gui.util
Wrapper around a set of parameters for ELKI, that may not yet be complete or correct.
DynamicParameters() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
Constructor
DynamicParameters.Node - Class in de.lmu.ifi.dbs.elki.gui.util
Node in the option tree (well, actually list)
DynamicParameters.Node(Parameter<?>, String, BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
Constructor.
DynamicParameters.RemainingOptions - Class in de.lmu.ifi.dbs.elki.gui.util
Dummy option class that represents unhandled options
DynamicParameters.RemainingOptions() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.RemainingOptions
Constructor.
dynamicStart - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
Keep track of the lowest unused dynamic DBID
dynamicUsed - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
Bit set to keep track of dynamic DBIDs
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Release 0.6.0 (2014-01-10_1610)