- d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier
-
Radius parameter d.
- d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier.Parameterizer
-
Query radius
- d - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.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.distance.AbstractDBOutlier.Parameterizer
-
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
-
- 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.
- 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.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.MaskedDBIDs
-
Data storage.
- data - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
-
The actual data array.
- data - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
-
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.cleaning.DropNaNFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.NoMissingValuesFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter
-
- 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.selection.ByLabelFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
-
- data(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser
-
- 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.math.geometry.XYPlot.Curve
-
X and Y positions
- data - Variable in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble.Instance
-
Cache for last data consumed/produced
- data - Variable in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance
-
Cache for last data consumed/produced
- data - Variable in class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject.Instance
-
Cache for last data consumed/produced
- data - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
-
(Reused) store for numerical attributes.
- 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.
- data - Static variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry
-
Registry data.
- 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.RelationUtil.RelationObjectIterator
-
The database we use.
- 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.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.application.ClassifierHoldoutEvaluationTask
-
Holds the database connection to get the initial data from.
- databaseConnection - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer
-
Holds the database connection to get the initial data from.
- 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
-
Class to manage database events such as insertions and removals.
- DatabaseEventManager() - Constructor for class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
-
- DatabaseEventManager.Type - Enum in de.lmu.ifi.dbs.elki.database
-
Types for aggregation.
- DatabaseEventManager.Type() - Constructor for enum de.lmu.ifi.dbs.elki.database.DatabaseEventManager.Type
-
- 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!
- 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.BoundingBoxVisualization.Instance
-
Generic tags to indicate the type of element.
- DATALINE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
-
Generic tags to indicate the type of element.
- dataListenerList - Variable in class de.lmu.ifi.dbs.elki.database.DatabaseEventManager
-
Holds the listeners for data store changes
- 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(DBIDs, DBIDs, DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
-
Constructor.
- 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
-
- DataStoreUtil.AscendingByDoubleDataStore - Class in de.lmu.ifi.dbs.elki.database.datastore
-
Sort objects by a double relation
- DataStoreUtil.AscendingByDoubleDataStore(DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStore
-
Constructor.
- DataStoreUtil.DescendingByDoubleDataStore - Class in de.lmu.ifi.dbs.elki.database.datastore
-
Sort objects by a double relation
- DataStoreUtil.DescendingByDoubleDataStore(DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStore
-
Constructor.
- 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.database.relation.RelationUtil.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 - 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 - Class in de.lmu.ifi.dbs.elki.database.query.distance
-
Run a distance query based on DBIDs
- DBIDDistanceQuery(Relation<DBID>, DBIDDistanceFunction) - 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.
- 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
-
- DBIDRangeDistanceFunction - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
-
Distance functions valid in a static database context only (i.e. for
DBIDRanges)
For any "distance" that cannot be computed for arbitrary objects, only those
that exist in the database and referenced by their ID.
- DBIDRangeDistanceQuery - Class in de.lmu.ifi.dbs.elki.database.query.distance
-
Run a distance query based on DBIDRanges
- DBIDRangeDistanceQuery(Relation<DBID>, DBIDRangeDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.DBIDRangeDistanceQuery
-
Constructor.
- DBIDRef - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Some object referencing a
DBID
.
- DBIDRefIter - Interface in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
-
A score iterator wrapping a DBIDRef object.
- DBIDS - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Database ID lists (but not single DBIDs).
- 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.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 - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Interface DBIDSimilarityFunction describes the requirements of any similarity
function defined over object IDs.
- DBIDsTest - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
-
Test predicate using a DBID set as positive elements.
- DBIDsTest(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DBIDsTest
-
Constructor.
- 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(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.DBIDView
-
Constructor.
- DBOutlierDetection<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Simple distanced based outlier detection algorithm.
- DBOutlierDetection(DistanceFunction<? super O>, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection
-
Constructor with actual parameters.
- DBOutlierDetection.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Parameterization class.
- DBOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer
-
- DBOutlierScore<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Compute percentage of neighbors in the given neighborhood with size d.
- DBOutlierScore(DistanceFunction<? super O>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierScore
-
Constructor with parameters.
- DBOutlierScore.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Parameterization class.
- DBOutlierScore.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierScore.Parameterizer
-
- DBSCAN<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering
-
Density-Based Clustering of Applications with Noise (DBSCAN), an algorithm to
find density-connected sets in a database.
- DBSCAN(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
-
Constructor with parameters.
- DBSCAN.Parameterizer<O> - 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.subspace.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".
- 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.classification - package de.lmu.ifi.dbs.elki.algorithm.classification
-
Classification 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.em - package de.lmu.ifi.dbs.elki.algorithm.clustering.em
-
Expectation-Maximization clustering 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
-
Hierarchical agglomerative clustering (HAC).
- de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction - package de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction
-
Extraction of partitional clusterings from hierarchical results.
- 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.initialization - package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization
-
Initialization strategies for k-means.
- de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel - package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel
-
Parallelized implementations of k-means.
- 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.meta - package de.lmu.ifi.dbs.elki.algorithm.clustering.meta
-
Meta clustering algorithms, that get their result from other clusterings or external sources.
- 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.optics - package de.lmu.ifi.dbs.elki.algorithm.clustering.optics
-
OPTICS family of clustering algorithms.
- de.lmu.ifi.dbs.elki.algorithm.clustering.subspace - package de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Axis-parallel subspace clustering algorithms.
- 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.clustering.uncertain - package de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain
-
Clustering algorithms for uncertain data.
- de.lmu.ifi.dbs.elki.algorithm.itemsetmining - package de.lmu.ifi.dbs.elki.algorithm.itemsetmining
-
Algorithms for frequent itemset mining such as APRIORI.
- 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.anglebased - package de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased
-
Angle-based outlier detection algorithms.
- de.lmu.ifi.dbs.elki.algorithm.outlier.clustering - package de.lmu.ifi.dbs.elki.algorithm.outlier.clustering
-
Clustering based outlier detection.
- de.lmu.ifi.dbs.elki.algorithm.outlier.distance - package de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
- de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel - package de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel
-
Parallel implementations of distance-based outlier detectors.
- de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic - package de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic
-
Outlier detection algorithms based on intrinsic dimensionality.
- 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.lof.parallel - package de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel
-
Parallelized variants of LOF.
- 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.svm - package de.lmu.ifi.dbs.elki.algorithm.outlier.svm
-
Support-Vector-Machines for outlier detection.
- 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.
- 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.experiments - package de.lmu.ifi.dbs.elki.application.experiments
-
Packaged experiments to make them easy to reproduce.
- 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.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.data.uncertain - package de.lmu.ifi.dbs.elki.data.uncertain
-
Uncertain data objects.
- de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier - package de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier
-
Classes to generate uncertain objects from existing certain data.
- de.lmu.ifi.dbs.elki.database - package de.lmu.ifi.dbs.elki.database
-
ELKI database layer - loading, storing, indexing and accessing data
- de.lmu.ifi.dbs.elki.database.datastore - package de.lmu.ifi.dbs.elki.database.datastore
-
General data store layer API (along the lines of Map<DBID, T>
- use everywhere!)
- de.lmu.ifi.dbs.elki.database.datastore.memory - package de.lmu.ifi.dbs.elki.database.datastore.memory
-
Memory data store implementation for ELKI.
- de.lmu.ifi.dbs.elki.database.ids - package de.lmu.ifi.dbs.elki.database.ids
-
Database object identification and ID group handling API.
- de.lmu.ifi.dbs.elki.database.ids.generic - package de.lmu.ifi.dbs.elki.database.ids.generic
-
Database object identification and ID group handling - generic implementations.
- de.lmu.ifi.dbs.elki.database.ids.integer - package de.lmu.ifi.dbs.elki.database.ids.integer
-
Integer-based DBID
implementation --
do not use directly - always use DBIDUtil
.
- de.lmu.ifi.dbs.elki.database.query - package de.lmu.ifi.dbs.elki.database.query
-
Database queries - computing distances, neighbors, similarities - API and general documentation.
- de.lmu.ifi.dbs.elki.database.query.distance - package de.lmu.ifi.dbs.elki.database.query.distance
-
Prepared queries for distances.
- de.lmu.ifi.dbs.elki.database.query.knn - package de.lmu.ifi.dbs.elki.database.query.knn
-
Prepared queries for k nearest neighbor (kNN) queries.
- de.lmu.ifi.dbs.elki.database.query.range - package de.lmu.ifi.dbs.elki.database.query.range
-
Prepared queries for ε-range queries, that return all objects within the radius ε.
- 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.cleaning - package de.lmu.ifi.dbs.elki.datasource.filter.cleaning
-
Filters for data cleaning.
- 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.normalization.columnwise - package de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
-
Normalizations operating on columns / variates; where each column is treated independently.
- de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise - package de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
-
Instancewise normalization, where each instance is normalized independently.
- de.lmu.ifi.dbs.elki.datasource.filter.selection - package de.lmu.ifi.dbs.elki.datasource.filter.selection
-
Filters for selecting and sorting data to process.
- 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.filter.typeconversions - package de.lmu.ifi.dbs.elki.datasource.filter.typeconversions
-
Filters to perform data type conversions.
- 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.set - package de.lmu.ifi.dbs.elki.distance.distancefunction.set
-
Distance functions for binary and set type data.
- 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.similarityfunction - package de.lmu.ifi.dbs.elki.distance.similarityfunction
-
Similarity functions.
- de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster - package de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster
-
Similarity measures for comparing clusters.
- 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.classification - package de.lmu.ifi.dbs.elki.evaluation.classification
-
Evaluation of classification algorithms.
- de.lmu.ifi.dbs.elki.evaluation.classification.holdout - package de.lmu.ifi.dbs.elki.evaluation.classification.holdout
-
Holdout and cross-validation strategies for evaluating classifiers.
- 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.extractor - package de.lmu.ifi.dbs.elki.evaluation.clustering.extractor
-
Classes to extract clusterings from hierarchical clustering.
- de.lmu.ifi.dbs.elki.evaluation.clustering.internal - package de.lmu.ifi.dbs.elki.evaluation.clustering.internal
-
Internal evaluation measures for clusterings.
- 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.scores - package de.lmu.ifi.dbs.elki.evaluation.scores
-
Evaluation of rankings and scorings.
- de.lmu.ifi.dbs.elki.evaluation.scores.adapter - package de.lmu.ifi.dbs.elki.evaluation.scores.adapter
-
Adapter classes for ranking and scoring measures.
- 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.distancematrix - package de.lmu.ifi.dbs.elki.index.distancematrix
-
Precomputed distance matrix.
- de.lmu.ifi.dbs.elki.index.idistance - package de.lmu.ifi.dbs.elki.index.idistance
-
iDistance is a distance based indexing technique, using a reference points embedding.
- de.lmu.ifi.dbs.elki.index.invertedlist - package de.lmu.ifi.dbs.elki.index.invertedlist
-
Indexes using inverted lists.
- 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.fastoptics - package de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics
-
Preprocessed index used by the FastOPTICS algorithm.
- 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.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.covertree - package de.lmu.ifi.dbs.elki.index.tree.metrical.covertree
-
Cover-tree variations.
- 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.flat - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat
-
- 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.rdknn - package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
-
- 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.analysis - package de.lmu.ifi.dbs.elki.math.analysis
-
Analysis package
- 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
-
- 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
-
- 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.random - package de.lmu.ifi.dbs.elki.math.random
-
Random number generation.
- 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.dependence - package de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Statistical measures of dependence, such as correlation.
- 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.intrinsicdimensionality - package de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
-
Methods for estimating the intrinsic dimensionality.
- 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.parallel - package de.lmu.ifi.dbs.elki.parallel
-
Parallel processing core for ELKI.
- de.lmu.ifi.dbs.elki.parallel.processor - package de.lmu.ifi.dbs.elki.parallel.processor
-
Processor API of ELKI, and some essential shared processors.
- de.lmu.ifi.dbs.elki.parallel.variables - package de.lmu.ifi.dbs.elki.parallel.variables
-
Variables are instantiated for each thread, and allow passing values from
one processor to another within the same thread.
- 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.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.hash - package de.lmu.ifi.dbs.elki.utilities.datastructures.hash
-
Hashing based data structures.
- 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.datastructures.unionfind - package de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind
-
- 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.io - package de.lmu.ifi.dbs.elki.utilities.io
-
Utility classes for input/output.
- 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.
- 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 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.actions - package de.lmu.ifi.dbs.elki.visualization.visualizers.actions
-
Action-only "visualizers" that only produce menu entries.
- 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.scatterplot.uncertain - package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain
-
Visualizers for uncertain data.
- 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(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection
-
Undo the rearrangement of components.
- dearrange(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
-
- dearrange(double[]) - 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.
- DEBUG_LAYOUT - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
-
Draw red borders around items.
- debugDumpCandidates(StringBuilder, List<? extends Itemset>, VectorFieldTypeInformation<BitVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
-
Debug method: output all itemsets.
- 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.utilities.io.ByteArrayUtil.StringSerializer
-
Decoder.
- DecreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
-
Class to iterate over a number vector in decreasing order.
- DecreasingVectorIter(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DecreasingVectorIter
-
Constructor.
- 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
-
- def - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
-
Default value.
- DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.math.random.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
-
- 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.FourC.Settings.Parameterizer
-
The default value for delta.
- DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
-
- DEFAULT_DELTA - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter
-
The default value for delta.
- DEFAULT_DISTANCE_FUNCTION - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory
-
The default distance function.
- DEFAULT_ENSEMBLE_DEPTH - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer
-
Default number of clusterings to run.
- DEFAULT_EPSILON - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
-
The default value for epsilon.
- DEFAULT_FORMAT - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.CSVReaderFormat
-
Default CSV input format.
- 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_SAMPLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer
-
Default sample size for generating finite representations.
- DEFAULT_SAMPLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer
-
Default sample size to visualize.
- 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.CSVReaderFormat
-
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_TRY_LIMIT - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.AbstractUncertainObject
-
Default retry limit for sampling, to guard against bad parameters.
- 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.
- defaultpath - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor
-
Default path.
- 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.
- defbg - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer
-
Colors
- deffg - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer
-
Colors
- 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.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.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
-
- delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
-
- delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
-
Delete an objects values.
- delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
-
Delete an objects values.
- delete(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.relation.ModifiableRelation
-
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.flat.FlatRStarTreeIndex
-
Deletes the specified object from this index.
- delete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
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.
- 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.flat.FlatRStarTreeIndex
-
- deleteAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
- 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
- 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.
- deleteEntry(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
-
Deletes the entry at the specified index and shifts all entries after the
index to left.
- deleteNode(N) - Method in class 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> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
-
DeliClu: Density-Based Hierarchical Clustering, a hierarchical algorithm to
find density-connected sets in a database.
- DeLiClu(DistanceFunction<? super NV>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu
-
Constructor.
- DeLiClu.Parameterizer<NV extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
-
Parameterization class.
- DeLiClu.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.Parameterizer
-
- DeLiClu.SpatialObjectPair - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.optics
-
Encapsulates an entry in the cluster order.
- DeLiClu.SpatialObjectPair(double, SpatialEntry, SpatialEntry, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.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
-
- 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.correlation.ERiC.Settings
-
Parameter to specify the threshold for approximate linear dependency: the
strong eigenvectors of q are approximately linear dependent from the
strong eigenvectors p if the following condition holds for all strong
eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <=
delta^2, must be a double equal to or greater than 0.
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings
-
Delta parameter, for selecting strong Eigenvectors.
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
-
Delta parameter
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer
-
Delta parameter
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM
-
Delta parameter
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer
-
Stopping threshold
- delta - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings
-
The threshold for small eigenvalues.
- 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(double, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
-
Compute the delta of two values.
- delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
-
Delta parameter, similarity threshold for attributes.
- delta(double, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
-
- delta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer
-
Delta parameter, similarity threshold for attributes.
- delta(double, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
-
- 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.ERiC.Settings.Parameterizer
-
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.algorithm.clustering.correlation.HiCO.Parameterizer
-
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.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.clustering.subspace.PreDeCon.Settings.Parameterizer
-
Parameter Delta: maximum variance allowed
- 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.timeseries.EDRDistanceFunction.Parameterizer
-
DELTA parameter
- deltaparams - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
-
- deltasq - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate
-
Squared delta value.
- DendrogramModel - Class in de.lmu.ifi.dbs.elki.data.model
-
Model for dendrograms, provides the distance to the child cluster.
- DendrogramModel(double) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
-
Constructor.
- 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.cleaning.DropNaNFilter
-
Columns to check.
- densecols - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter
-
Columns to check.
- DenseItemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
-
APRIORI itemset.
- DenseItemset(long[], int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
-
Constructor.
- 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.
- DensityEstimationOverlay.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density
-
Instance for a particular data set.
- DensityEstimationOverlay.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
-
Constructor.
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
-
- dependence(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, A) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.CorrelationDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.CorrelationDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.dependence.DependenceMeasure
-
Measure the dependence of two variables.
- dependence(NumberArrayAdapter<?, A>, A, A) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.dependence.DependenceMeasure
-
Measure the dependence of two variables.
- dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.dependence.DependenceMeasure
-
Measure the dependence of two variables.
- dependence(double[], double[]) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.dependence.DependenceMeasure
-
Measure the dependence of two variables.
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, List<? extends A>) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.JensenShannonEquiwidthDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MutualInformationEquiwidthDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SpearmanCorrelationDependenceMeasure
-
- dependence(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SURFINGDependenceMeasure
-
- DependenceMeasure - Interface in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Measure the dependence of two variables.
- 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> - 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(NumberVectorDistanceFunction<? super V>, NumberFormat, PCAFilteredRunner, 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> - Class in de.lmu.ifi.dbs.elki.algorithm
-
Parameterization class.
- DependencyDerivator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
-
- depth - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
-
Current height.
- 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.
- derivative(int, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
-
Given a NumberVector and the position of an element, approximates the
gradient of given element.
- DerivativeDTWDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
-
Derivative Dynamic Time Warping distance for numerical vectors.
- DerivativeDTWDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
-
Constructor.
- DerivativeDTWDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
-
Constructor.
- 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() - Method in enum de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate
-
Descriptions of the aggregate values.
- 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.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.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.gui.overview.OverviewPlot
-
Destroy this overview plot.
- destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
-
- destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.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.thumbs.ThumbnailVisualization
-
- destroy() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization
-
Destroy the visualization.
- destroyToNaiveMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Obtain the covariance matrix according to the population statistics: n
degrees of freedom.
- destroyToSampleMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
-
Obtain the covariance matrix according to the sample statistics: (n-1)
degrees of freedom.
- 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.
- 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.
- DEV_MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer
-
Parameter for maximum 3-sigma deviation.
- DEV_MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer
-
Maximum deviation of the generated bounding box.
- DEV_MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer
-
Parameter for minimum 3-sigma deviation.
- DEV_MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer
-
Minimum deviation of the generated bounding box.
- 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.StandardizedTwoSampleAndersonDarlingTest
-
- deviation(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest
-
K-samples version of the Anderson-Darling test.
- 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.
- DiagonalGaussianModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em
-
Simpler model for a single Gaussian cluster, without covariances.
- DiagonalGaussianModel(double, Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
-
Constructor.
- DiagonalGaussianModel(double, Vector, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel
-
Constructor.
- DiagonalGaussianModelFactory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em
-
Factory for EM with multivariate gaussian models using diagonal matrixes.
- DiagonalGaussianModelFactory(KMeansInitialization<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModelFactory
-
Constructor.
- DiagonalGaussianModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em
-
Parameterization class
- DiagonalGaussianModelFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModelFactory.Parameterizer
-
- 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.distance.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.subspace.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.application.experiments.EvaluateIntrinsicDimensionalityEstimators
-
Benchmark parameters.
- dim - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
-
Benchmark parameters.
- 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.cleaning.VectorDimensionalityFilter
-
Desired dimensionality.
- dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter.Parameterizer
-
Desired dimensionality.
- dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Adapter
-
Dimension to process.
- dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Adapter
-
Dimension to process.
- dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter
-
Dimension to use for sorting.
- 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.OnedimensionalDistanceFunction
-
The dimension to be considered for distance computation.
- dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction.Parameterizer
-
Selected dimension.
- dim() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter
-
Get the dimension in the original vector.
- 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.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer
-
Dimensionality.
- 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.filter.typeconversions.UncertainSplitFilter.Parameterizer
-
Parameter for specifying the number of dimensions of the sample.
- DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Parameterizer
-
Parameter for specifying the number of dimensions of the sample.
- 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.OnedimensionalDistanceFunction.Parameterizer
-
Parameter for dimensionality.
- DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer
-
Parameter for choosing the number of dimensions to use for each curve.
- DIM_P - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter.Parameterizer
-
Parameter for specifying the dimensionality.
- dimension - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEInterval
-
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(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Instance
-
Get the correlation dimensionality of a single object.
- dimensionality(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance
-
Get the correlation dimensionality of a single object.
- dimensionality(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS
-
Ugly hack to allow using this implementation without having a well-defined
dimensionality.
- 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.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 SpatialComparable>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil
-
Get the dimensionality of a database relation.
- dimensionality - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter
-
Stores the dimensionality from the preprocessing.
- dimensionality(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction
-
Get the common dimensionality of the two objects.
- dimensionality(SpatialComparable, SpatialComparable, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction
-
Get the common dimensionality of the two objects.
- dimensionality(NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction
-
Get the common dimensionality of the two objects.
- dimensionality(NumberVector, NumberVector, int) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction
-
Get the common dimensionality of the two objects.
- 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<?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotFactory
-
- dimensionality(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory
-
- 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(int) - 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.AbstractDimensionsSelectingDistanceFunction
-
The dimensions to be considered for distance computation.
- dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction.Parameterizer
-
Bitmask of the dimensions
- 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> - 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.
- 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.
- dimi - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.DoubleIntInt
-
- dimj - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.DoubleIntInt
-
- 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
-
Subspace.
- 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.typeconversions.SplitNumberVectorFilter
-
Selected dimensions.
- dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Parameterizer
-
Dimensions to use.
- dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter
-
Data dimensionality.
- dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter.Parameterizer
-
Field to hold the dimensional constraint.
- dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter
-
Data dimensionality.
- dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Parameterizer
-
Field to hold the dimensional constraint.
- 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.index.tree.spatial.kd.SmallMemoryKDTree
-
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.AbstractDimensionsSelectingDistanceFunction.Parameterizer
-
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 - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
-
Pattern for disabling (skipping) methods.
- disable - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
-
Pattern for disabling (skipping) methods.
- DISABLE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
-
Option ID for disabling methods.
- 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.
- disconnect() - Method in class de.lmu.ifi.dbs.elki.parallel.ParallelCore
-
Disconnect to the executor.
- DISCRETE_UNCERTAIN_OBJECT - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Uncertain objects.
- DiscreteUncertainObject - Interface in de.lmu.ifi.dbs.elki.data.uncertain
-
Interface for discrete uncertain objects, that are represented by a finite
(possibly weighted) number of samples.
- discretize(NumberArrayAdapter<?, A>, A, int, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
-
Discretize a data set into equi-width bin numbers.
- DiSH<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Algorithm for detecting subspace hierarchies.
- DiSH(double, int, DiSHPreferenceVectorIndex.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
-
Constructor.
- DiSH.DiSHClusterOrder - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
DiSH cluster order.
- DiSH.DiSHClusterOrder(String, String, ArrayModifiableDBIDs, WritableDoubleDataStore, WritableDBIDDataStore, WritableIntegerDataStore, WritableDataStore<long[]>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.DiSHClusterOrder
-
Constructor.
- DiSH.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
OPTICS variant used by DiSH internally.
- DiSH.Instance(Database, Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
-
Constructor.
- DiSH.Instance.Sorter - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Sort new candidates by their distance, for determining the core size.
- DiSH.Instance.Sorter() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance.Sorter
-
- 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
-
- 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>, double[], 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(double[], 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
-
- dishPreprocessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
-
The DiSH preprocessor.
- dishPreprocessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
-
DiSH preprocessor.
- DisjointCrossValidation - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout
-
DisjointCrossValidationHoldout provides a set of partitions of a database to
perform cross-validation.
- DisjointCrossValidation(RandomFactory, int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation
-
Constructor.
- DisjointCrossValidation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout
-
Parameterization class
- DisjointCrossValidation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation.Parameterizer
-
- DiskCacheBasedDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
-
Distance function that is based on double distances given by a distance
matrix of an external binary matrix 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
-
Distance function that is based on float distances given by a distance matrix
of an external binary matrix 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.visualization.gui.detail.DetailView
-
- 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.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
-
Current height.
- 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.cleaning.ReplaceNaNWithRandomFilter
-
Distribution to generate replacement values with.
- dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.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.datasource.filter.transform.FastMultidimensionalScalingTransform
-
Distance function to use.
- dist - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.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.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(ArrayDBIDs, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
-
- distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor
-
Distance function.
- distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance
-
Distance function.
- distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.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.algorithm.clustering.uncertain.RepresentativeUncertainClustering
-
Distance function for clusterings.
- distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer
-
Distance (dissimilarity) for clusterinogs.
- distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.DistanceEntry
-
Distance of the two objects
- 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(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 class de.lmu.ifi.dbs.elki.database.query.distance.DBIDRangeDistanceQuery
-
- 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.AbstractDBIDRangeDistanceFunction
-
- distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
-
- distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
-
Computes the cosine distance for two given feature vectors.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction
-
Computes the absolute Pearson correlation distance for two given feature
vectors.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
-
Computes the Pearson correlation distance for two given feature vectors.
- distance(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.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction
-
Computes the Pearson correlation distance for two given feature vectors.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction
-
Computes the Pearson correlation distance for two given feature vectors.
- distance(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.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
-
Computes the cosine distance for two given feature vectors.
- 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(int, int) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DBIDRangeDistanceFunction
-
Compute the distance for two integer offsets.
- distance(int, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
-
- distance(int, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
-
- distance(int, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
-
- distance(int, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
-
- distance(SparseNumberVector, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction
-
- distance(SparseNumberVector, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
-
- distance(SparseNumberVector, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction
-
- distance(SparseNumberVector, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.NumberVectorDistanceFunction
-
Computes the distance between two given vectors according to this distance
function.
- 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(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
-
- distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
-
- distance(FeatureVector<?>, FeatureVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
-
- distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
-
- 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.AbstractDimensionsSelectingDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction
-
Computes the distance between two given DatabaseObjects according to this
distance function.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
-
Constructor.
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DerivativeDTWDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction
-
- distance(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction
-
- distance(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction
-
- distance(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction
-
- distance(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction
-
- distance(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
-
- distance(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
-
- distance(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
-
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette.Parameterizer
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors.Parameterizer
-
Distance function to use.
- distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
-
- distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
-
- distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
-
- distance(O, O) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
-
- distance - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory
-
Distance function to use.
- distance - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer
-
Distance function to use.
- distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
-
Compute a distance (and count).
- distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
-
Compute a distance (and count).
- 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.RStarTreeKNNQuery.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.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.covertree.AbstractCoverTree.Factory.Parameterizer
-
Parameter to specify the distance function to determine the distance
between database objects, must extend
DistanceFunction
.
- DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
-
Parameter to specify the distance function to determine the distance
between database objects, must extend
DistanceFunction
.
- DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory
-
Parameter for distance function
- 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 class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors.Parameterizer
-
Parameter for choosing the distance function.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory.Parameterizer
-
Option parameter for the precomputed distance matrix.
- DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer
-
Parameter for the distance function
- DistanceBasedAlgorithm<O> - Interface in de.lmu.ifi.dbs.elki.algorithm
-
Very broad interface for distance based algorithms.
- DistanceBasedInitializationWithMedian<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation
-
Distance based initialization.
- DistanceBasedInitializationWithMedian(DistanceFunction<? super O>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
-
Constructor.
- DistanceBasedInitializationWithMedian.Parameterizer<O> - 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
-
- DistanceCacheWriter - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.external
-
Interface to plug in the cache storage into the parser.
- 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.
- distanceComputations - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities
-
Count the number of distance computations.
- DistanceCorrelationDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Distance correlation.
- DistanceCorrelationDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure
-
- DistanceCorrelationDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Parameterization class
- DistanceCorrelationDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure.Parameterizer
-
- 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.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
-
- 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.AbstractNumberVectorDistanceBasedAlgorithm
-
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer
-
Distance function to use.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm
-
- 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.subspace.SUBCLU
-
- 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.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.DBIDRangeDistanceQuery
-
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> - 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.clustering.internal.EvaluateConcordantPairs
-
Distance function to use.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin
-
Distance function to use.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex
-
Distance function to use.
- 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.distancematrix.PrecomputedDistanceMatrix
-
Nested distance function.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory
-
Nested distance function.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory.Parameterizer
-
Nested distance function.
- 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.covertree.AbstractCoverTree
-
Holds the instance of the trees distance function.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory
-
Holds the instance of the trees distance function.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer
-
Holds the instance of the trees distance function.
- 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.RStarTreeKNNQuery
-
Spatial primitive distance function.
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeQuery
-
Spatial primitive distance function
- distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdkNNSettings
-
The 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_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 - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection
-
Instance, visualizing a particular set of kNNs
- DistanceFunctionVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
-
Constructor
- DistanceIndex<O> - Interface in de.lmu.ifi.dbs.elki.index
-
Index with support for distance queries (e.g. precomputed distance matrixes,
caches)
- DistanceParser - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.external
-
A DistanceParser shall provide a DistanceParsingResult by parsing an
InputStream.
- DistanceQuantileSampler<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
-
Compute a quantile of a distance sample, useful for choosing parameters for
algorithms.
- DistanceQuantileSampler(DistanceFunction<? super O>, double, double, boolean, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler
-
Constructor.
- DistanceQuantileSampler.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
-
Parameterization class
- DistanceQuantileSampler.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler.Parameterizer
-
- DistanceQuery<O> - 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.distancematrix.PrecomputedDistanceMatrix
-
Nested distance query.
- distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
-
Distance query.
- 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.covertree.AbstractCoverTree
-
Distance query, on the data relation.
- 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.
- distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
The distance function.
- 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
-
- DistanceResultAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
-
This adapter is used to process a list of (double, DBID) objects.
- DistanceResultAdapter(DoubleDBIDListIter) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter
-
Constructor
- DistanceSimilarityQuery<O> - Interface in de.lmu.ifi.dbs.elki.database.query
-
Interface that is a combination of distance and a similarity function.
- DistanceStatisticsWithClasses<O> - 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>, int, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
-
Constructor.
- DistanceStatisticsWithClasses.Parameterizer<O> - 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
-
- distcalc - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
-
Counter for distance computations.
- distcalc - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
-
Counter for distance computations.
- distComputations - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
-
Distance computations performed.
- 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
- distfun - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Parameterizer
-
Distance function to use
- 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.AbstractRangeQueryNeighborPredicate
-
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.distance.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.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
-
Distance query for exact distances.
- distq - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut
-
Distance query
- distq - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.NaiveProjectedKNNQuery
-
Distance query to use for refinement
- distq - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.SpaceFillingKNNQuery
-
Distance query to use for refinement
- 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 - Variable in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier
-
Holds the prior probabilities.
- 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.columnwise.AttributeWiseBetaNormalization.Parameterizer
-
Parameter for distribution estimators.
- DISTRIBUTIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Parameterizer
-
Parameter for distribution estimators.
- dists - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
-
Distance values
- dists - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization
-
Stores the estimated distributions
- dists - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization
-
Stores the estimated distributions
- distToScale(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
-
Convert a distance to an upper scaling bound-
- DIV - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject
-
Scaling factor from bounding box width to standard deviations.
- 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.
- divide(int[], double[], ArrayList<int[]>, int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
-
Recursive call to further subdivide the array.
- 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
- doBulkReverseKNN(RdKNNNode, DBIDs, Map<DBID, ModifiableDoubleDBIDList>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
Performs a bulk reverse knn query in the specified subtree.
- DOC<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
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 that have ELKI
Parameter
s.
- 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, TreeSet<Object>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
-
- documentReferencesWiki(List<Pair<Reference, TreeSet<Object>>>, 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.subspace.AbstractAggarwalYuOutlier
-
Symbolic value for subspaces not in use.
- doRangeQuery(DBID, AbstractMTreeNode<O, ?, ?>, O, double, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery
-
Performs a range query on the specified subtree.
- doReverseKNN(RdKNNNode, DBID, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
-
Performs a reverse knn query in the specified subtree.
- doReverseKNNQuery(int, DBIDRef, ModifiableDoubleDBIDList, 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>, MkMaxEntry, ModifiableDoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
-
- doReverseKNNQuery(int, DBIDRef, MkTabEntry, MkTabTreeNode<O>, ModifiableDoubleDBIDList) - 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>, KNNQuery<O>, 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.distancefunction.set.AbstractSetDistanceFunction
-
Constants for checking null.
- DOUBLE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
-
Static instance.
- DOUBLE_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
-
Input type for algorithms that require number vector fields.
- DoubleArray - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
-
Array of double values.
- DoubleArray() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
-
Constructor.
- DoubleArray(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
-
Constructor.
- DoubleArray(DoubleArray) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
-
Constructor from an existing array.
- 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.
- doubleCenterMatrix(double[], int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure
-
Computes the distance variance matrix of one axis.
- 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).
- DoubleDBIDList - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Collection of double values associated with objects.
- DoubleDBIDListIter - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Iterator over double-DBID pairs results.
- DoubleDBIDListMIter - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Modifiable DBIDList iterator.
- DoubleDBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Pair of a double value and a DBID.
- 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.utilities.datastructures.arrays
-
Class to sort a double and an integer DBID array, using a quicksort with a
best of 5 heuristic.
- DoubleIntegerArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort
-
- DoubleIntegerDBIDKNNHeap - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Class to efficiently manage a kNN heap.
- DoubleIntegerDBIDKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
-
Constructor.
- DoubleIntegerDBIDKNNList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
kNN list, but without automatic sorting.
- DoubleIntegerDBIDKNNList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNList
-
Constructor.
- DoubleIntegerDBIDKNNList(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNList
-
Constructor.
- DoubleIntegerDBIDList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Class to store double distance, integer DBID results.
- DoubleIntegerDBIDList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
-
Constructor.
- DoubleIntegerDBIDList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
-
Constructor.
- DoubleIntegerDBIDList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
List iterator.
- DoubleIntegerDBIDList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
-
Constructor.
- DoubleIntegerDBIDListIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
-
Combination interface of the DoubleDBIDListIter with IntegerDBIDIter.
- DoubleIntegerDBIDListKNNHeap - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Track the k nearest neighbors, with insertion sort to ensure the correct
order.
- DoubleIntegerDBIDListKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
-
Constructor.
- DoubleIntegerDBIDListMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
-
Combination interface for modifiable iterators.
- DoubleIntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Pair containing a double value and an integer DBID.
- DoubleIntegerDBIDPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
-
Constructor.
- DoubleIntegerDBIDPairKNNListHeap - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
KNN Heap implemented using a list of DoubleInt pair objects.
- DoubleIntegerDBIDPairKNNListHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
-
Constructor.
- DoubleIntegerDBIDPairKNNListHeap.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Iterator.
- DoubleIntegerDBIDPairKNNListHeap.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr
-
- DoubleIntegerDBIDPairList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
Class to store double distance, integer DBID results.
- DoubleIntegerDBIDPairList() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
-
Constructor.
- DoubleIntegerDBIDPairList(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
-
Constructor.
- DoubleIntegerDBIDPairList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
-
List iterator.
- DoubleIntegerDBIDPairList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
-
- 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
- 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
-
- 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.
- DoubleMinMaxProcessor - Class in de.lmu.ifi.dbs.elki.parallel.processor
-
Sink collecting minimum and maximum values.
- DoubleMinMaxProcessor() - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor
-
Constructor.
- DoubleMinMaxProcessor.Instance - Class in de.lmu.ifi.dbs.elki.parallel.processor
-
Instance for a particular sub-channel / part of the data set.
- DoubleMinMaxProcessor.Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance
-
Constructor.
- 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.
- 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.
- 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.
- 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.
- DoubleRelation - Interface in de.lmu.ifi.dbs.elki.database.relation
-
Interface for double-valued relations.
- 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
-
- 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(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
-
- 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 class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
-
- 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.DoubleDBIDListIter
-
Get the double value
- 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.generic.KNNSubList.Itr
-
- doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
-
- doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
-
- doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr
-
- doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
-
- doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
-
- doubleValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation
-
Get the representation of an object.
- doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
-
- 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.parallel.variables.SharedDouble.Instance
-
Get the variables value.
- 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
-
Vector type using double[]
storage for real numbers.
- 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
-
Create 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
-
- 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
- drawContinuous(UncertainObject, MarkerLibrary, int, double, Random) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
-
Visualize random samples
- drawContinuousDefault(UncertainObject, int, double, Random) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
-
Visualize random samples
- 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, double) - 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.
- drawDiscete(DiscreteUncertainObject, MarkerLibrary, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
-
Visualize a discrete uncertain object
- drawDiscreteDefault(DiscreteUncertainObject, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization.Instance
-
Visualize discrete object
- 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, NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
-
Filled hypercube.
- drawFilled(SVGPlot, String, Projection2D, SpatialComparable) - 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, NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
-
Wireframe hypercube.
- drawFrame(SVGPlot, Projection2D, SpatialComparable) - 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(String, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
-
Approximate the hull using arcs.
- drawHullLines(String, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
-
Approximate by convex hull.
- 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(int, int, int, int, boolean[][]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure
-
Draw a line onto the array, using the classic Bresenham algorithm.
- drawLine(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance
-
Draw a single line.
- 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
- drawSample(Random) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.AbstractUncertainObject
-
- drawSample(Random) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject
-
- drawSample(Random) - Method in interface de.lmu.ifi.dbs.elki.data.uncertain.UncertainObject
-
Draw a random sampled instance.
- drawSample(Random) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.UniformContinuousUncertainObject
-
- drawSample(Random) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject
-
- drawSample(Random) - Method in class de.lmu.ifi.dbs.elki.data.uncertain.WeightedDiscreteUncertainObject
-
- drawSegments() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
-
Create the segments
- drawSphere2D(String, Vector, Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
-
Draw by approximating a sphere via cubic splines
- 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.initialization.FarthestPointsInitialMeans
-
Discard the first vector.
- DropNaNFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.cleaning
-
A filter to drop all records that contain NaN values.
- DropNaNFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter
-
Constructor.
- DropNaNFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.cleaning
-
Parameterization class.
- DropNaNFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter.Parameterizer
-
- DTWDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
-
Dynamic Time Warping distance (DTW) for numerical vectors.
- DTWDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
-
Constructor.
- 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.
- dumpClusteringOutput(PrintStream, ResultHierarchy, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper
-
Dump a single clustering result.
- 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> - 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>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
-
Constructor.
- DWOF.Parameterizer<O> - 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, int, 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