DensityEstimationOverlay() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
DensityEstimationOverlay.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density
Instance for a particular data set.
DensityEstimationOverlay.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
Constructor.
DEPENDENCY_DERIVATOR_RANDOM_SAMPLE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Flag to use random sample (use knn query around centroid, if flag is not
set).
DependencyDerivator<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Dependency derivator computes quantitatively linear dependencies among
attributes of a given dataset based on a linear correlation PCA.
DependencyDerivator(PrimitiveDistanceFunction<V, D>, NumberFormat, PCAFilteredRunner<V>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator
Constructor.
dependencyDerivator - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP
Holds the object performing the dependency derivation
DependencyDerivator.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.algorithm
Parameterization class.
DependencyDerivator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer
depth() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
The length of the hierarchy of names.
depth - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
deref(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Dereference a DBID reference.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
descend(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
Descend parameterization tree into sub-option.
descend(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
descendingIterator() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
Return an iterator that iterates the list backwards.
describeParameterizable(StringBuilder, Class<?>, int, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil
Format a description of a Parameterizable (including recursive options).
Description - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation
Class/algorithm description
DESCRIPTION - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
Optional Parameter to specify a class to obtain a description for.
description - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID
The description of the OptionID.
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
desiredSize(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.AbstractHeap
Test whether we need to resize to have the requested capacity.
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
destroy() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore
destroy() - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore
Deallocate the storage, freeing the memory and notifies the registered
listeners.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Remove the listeners
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Cleanup function.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization
destroy() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization
Destroy the visualization.
destroy() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance
destroyToNaiveMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the population statistics: n
degrees of freedom.
destroyToSampleMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix
Obtain the covariance matrix according to the sample statistics: (n-1)
degrees of freedom.
destroyVisualizations() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Destination (minimum) size of the structure.
destsize - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Destination (minimum) size of the structure.
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition
Determinant
det() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Matrix determinant
detachPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas
Execute the detaching event.
detachResult(Database, OutlierResult) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
Avoid that (future changes?)
DetailView - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail
Manages a detail view.
DetailView(VisualizerContext, PlotItem, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Constructor.
DetailView.InsertVisualization - Class in de.lmu.ifi.dbs.elki.visualization.gui.detail
Class used to insert a new visualization layer
DetailView.InsertVisualization(Visualization) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView.InsertVisualization
Visualization.
DetailViewSelectedEvent - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview
Event when a particular subplot was selected.
DetailViewSelectedEvent(OverviewPlot, int, String, int, PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent
Constructor.
determineAlphaMax(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the n-th alpha value where this function has a maximum in the
specified interval.
determineAlphaMin(int, double[], HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the n-th alpha value where this function has a minimum in the
specified interval.
determineAlphaMinMax(HyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the alpha values where this function has a minumum and maximum
value in the given interval.
determineBasis(double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines a basis defining a subspace described by the specified alpha
values.
determineClusters() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Determines all clusters in this subspace by performing a depth-first search
algorithm to find connected dense units.
determineClusters(List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Determines the clusters in the specified dense subspaces.
determineGlobalExtremum() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the global extremum of this parameterization function.
determineGlobalExtremumType() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction
Determines the type of the global extremum.
determineIDs(DBIDs, HyperBoundingBox, double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
Determines the ids belonging to the given interval, i.e. the
parameterization functions falling within the interval.
determineLowerAndUpperHull(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ConvexHull
Computes the lower and upper hull of the specified distances.
determineMinMaxDistance(Relation<ParameterizationFunction>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines the minimum and maximum function value of all parameterization
functions stored in the specified database.
determineNextIntervalAtMaxLevel(Heap<IntegerPriorityObject<CASHInterval>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Determines the next ''best'' interval at maximum level, i.e. the next
interval containing the most unprocessed objects.
determinePreferenceVector(Relation<V>, ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector according to the specified neighbor ids.
determinePreferenceVector(Relation<V>, DBIDRef, DBIDs, StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
Determines the preference vector according to the specified neighbor ids.
determinePreferenceVectorByApriori(Relation<V>, ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector with the apriori strategy.
determinePreferenceVectorByMaxIntersection(ModifiableDBIDs[], StringBuilder) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Determines the preference vector with the max intersection strategy.
devianceTerm(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution
Evaluate the deviance term of the saddle point approximation.
deviation(Vector, Matrix) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS
Deviation from a manifold described by beta.
deviation(double[], double[]) - Method in interface de.lmu.ifi.dbs.elki.math.statistics.tests.GoodnessOfFitTest
Measure the deviation of a full sample from a conditional sample.
deviation(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest
deviation(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest
dfs(CLIQUEUnit<V>, ModifiableDBIDs, CLIQUESubspace<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace
Depth-first search algorithm to find connected dense units in this subspace
that build a cluster.
diagonal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns a quadratic Matrix consisting of zeros and of the given values on
the diagonal.
diagonal(Vector) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns a quadratic Matrix consisting of zeros and of the given values on
the diagonal.
diagonal(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Returns a quadratic Matrix consisting of zeros and of the given values on
the diagonal.
DIALOG_ERROR - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DIALOG_INFORMATION - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DIALOG_WARNING - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
diameter - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.HilbertFeatures
Data space diameter
difference(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Returns the difference of the two specified collection of IDs.
digamma(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution
Compute the Psi / Digamma function
Reference:
J.
DIGITS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Parameterizer
Parameter for the gamma-correction.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary.EvolutionarySearch
Database dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator
Dimensionality of data set
dim - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
dim - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
The dimensionality
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
Actual dataset dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection
Dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
Dimensionality.
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
The dimension to be considered for distance computation.
dim - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
dim - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Compare
Current dimension.
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.math.spacefillingcurves.BinarySplitSpatialSorter.DimC
Dimension.
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.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer
Database to specify the random vector dimensionality.
DIM_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Parameter for dimensionality.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.Interval
The dimension of this interval in the (original) data space.
dimension - Variable in class de.lmu.ifi.dbs.elki.data.model.DimensionModel
Number of dimensions
dimension - Variable in class de.lmu.ifi.dbs.elki.index.vafile.DAFile
Dimension of this approximation file.
dimensionality(Relation<ParameterizationFunction>) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Get the dimensionality of a vector field.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.BitVector
Dimensionality of this bit vector.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
Output dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.data.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.Subspace
The dimensionality of this subspace.
dimensionality() - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns the dimensionality of this subspace.
dimensionality(Relation<? extends FeatureVector<?>>) - Static method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil
Get the dimensionality of a database relation.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Dimensionality reported.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.PreferenceVectorBasedCorrelationDistance
The dimensionality of the feature space (needed for serialization).
dimensionality - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Dimensionality.
dimensionality - Variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveTransformer
Dimensionality.
dimensionality(Relation<V>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
DIMENSIONALITY_UNKNOWN - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Constant used for unknown dimensionality (e.g. empty files)
DIMENSIONALITY_VARIABLE - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Constant used for records of variable dimensionality (e.g. time series)
DimensionModel - Class in de.lmu.ifi.dbs.elki.data.model
Cluster model just providing a cluster dimensionality.
DimensionModel(Integer) - Constructor for class de.lmu.ifi.dbs.elki.data.model.DimensionModel
Constructor
dimensions - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster
The correlated dimensions of this cluster.
dimensions - Variable in class de.lmu.ifi.dbs.elki.data.Subspace
The dimensions building this subspace.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
The dimensions to be considered for distance computation.
dimensions - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer
DimensionSelectingDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Provides a distance function that computes the distance between feature
vectors as the absolute difference of their values in a specified dimension.
DimensionSelectingDistanceFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Constructor.
DimensionSelectingDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
DimensionSelectingDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction.Parameterizer
DimensionSelectingLatLngDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
Distance function for 2D vectors in Latitude, Longitude form.
DimensionSelectingLatLngDistanceFunction(int, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Constructor.
DimensionSelectingLatLngDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
Parameterization class.
DimensionSelectingLatLngDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
DimensionSelectingSubspaceDistanceFunction<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Interface for dimension selecting subspace distance functions.
DimensionSimilarity<V> - Interface in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Interface for computing pairwise dimension similarities, used for arranging
dimensions in parallel coordinate plots.
DimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Class representing a similarity matrix between dimensions.
DimensionSimilarityMatrix(int) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.FullDimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Complete matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.FullDimensionSimilarityMatrix(int) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.FullDimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Partial matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix(int[]) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix
Constructor.
DimensionSimilarityMatrix.PrimAdapter - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity
Adapter class for running prim's algorithm.
DimensionSimilarityMatrix.PrimAdapter() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter
Constructor.
dimensionToInterval - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Provides a mapping of particular dimensions to the intervals of which this
unit is build.
dimensonsToString() - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns a string representation of the dimensions of this subspace
separated by comma.
dimensonsToString(String) - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns a string representation of the dimensions of this subspace.
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Latitude dimension.
dimlat - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
Latitude dimension.
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
Longitude dimension.
dimlng - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer
Longitude dimension.
dimOrder - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
Ordering of dimensions
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter
Selected dimensions.
dims - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.SplitNumberVectorFilter.Parameterizer
Dimensions to use.
dims - Variable in class de.lmu.ifi.dbs.elki.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_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
Dimensions parameter.
DIR_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer
Insertion strategy for directory nodes.
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
The capacity of a directory node (= 1 + maximum number of entries in a
directory node).
dirCapacity - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
The capacity of a directory node (= 1 + maximum number of entries in a
directory node).
DirectoryEntry - Interface in de.lmu.ifi.dbs.elki.index.tree
Directory Entry
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
The minimum number of entries in a directory node.
dirMinimum - Variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader
The minimum number of entries in a directory node.
dirStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy
Strategy when inserting into directory nodes
dirStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer
Strategy when inserting into directory nodes
dirty - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
The dirty flag of this page.
disableInteractions - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Flag whether Batik interactions should be disabled.
disableStart() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Disable capturing of 'mousedown' events.
disableStop() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Disable capturing of 'mousemove' and 'mouseup' events.
discarded - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Discarded count
DiscardResultHandler - Class in de.lmu.ifi.dbs.elki.result
A dummy result handler that discards the actual result, for use in
benchmarks.
DiscardResultHandler() - Constructor for class de.lmu.ifi.dbs.elki.result.DiscardResultHandler
Default constructor.
DiSH<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Algorithm for detecting subspace hierarchies.
DiSH(double, DiSHDistanceFunction, Collection<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Constructor.
DiSH.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Parameterization class.
DiSH.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
The distance function we use
dishDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer
DiSHDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Distance function used in the DiSH algorithm.
DiSHDistanceFunction(DiSHPreferenceVectorIndex.Factory<NumberVector<?>>, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction
Constructor.
DiSHDistanceFunction.Instance<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
The actual instance bound to a particular database.
DiSHDistanceFunction.Instance(Relation<V>, DiSHPreferenceVectorIndex<V>, double, DiSHDistanceFunction) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Instance
Constructor.
DiSHDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Parameterization class.
DiSHDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DiSHDistanceFunction.Parameterizer
DiSHPreferenceVectorIndex<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Preprocessor for DiSH preference vector assignment to objects of a certain
database.
DiSHPreferenceVectorIndex(Relation<V>, DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Constructor.
DiSHPreferenceVectorIndex.Factory<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Factory class.
DiSHPreferenceVectorIndex.Factory(DoubleDistance[], int, DiSHPreferenceVectorIndex.Strategy) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
Constructor.
DiSHPreferenceVectorIndex.Factory.Parameterizer<V extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Parameterization class.
DiSHPreferenceVectorIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer
DiSHPreferenceVectorIndex.Strategy - Enum in de.lmu.ifi.dbs.elki.index.preprocessed.preference
Available strategies for determination of the preference vector.
DiSHPreferenceVectorIndex.Strategy() - Constructor for enum de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Strategy
DiskCacheBasedDoubleDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a DistanceFunction that is based on double distances given by a
distance matrix of an external file.
DiskCacheBasedDoubleDistanceFunction(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Constructor.
DiskCacheBasedDoubleDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
DiskCacheBasedDoubleDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer
DiskCacheBasedFloatDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a DistanceFunction that is based on float distances given by a
distance matrix of an external file.
DiskCacheBasedFloatDistanceFunction(OnDiskUpperTriangleMatrix) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Constructor.
DiskCacheBasedFloatDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Parameterization class.
DiskCacheBasedFloatDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer
dispose() - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Cancel the overview, i.e. stop the thumbnailer
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
dispose() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Clean up the plot.
dissimilarityMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
Returns the dissimilarity matrix (M_czech) of this LocalPCA.
dist - Variable in class de.lmu.ifi.dbs.elki.algorithm.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.index.vafile.PartialVAFile.WorstCaseDistComparator
dist - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Distance type
dist - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
Drawing mode (distance) to use
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.correlation.HiCO.Parameterizer
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu.SpatialObjectPair
The current distance.
distance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer
Distance function that is to be cached.
distance - Variable in class de.lmu.ifi.dbs.elki.application.cache.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(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the distance of NumberVector p from the hyperplane underlying this
solution.
distance(Vector) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution
Returns the distance of Matrix p from the hyperplane underlying this
solution.
distance - Variable in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
Distance to child cluster
distance - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DistanceIntegerDBIDPair
The distance value.
distance - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
The distance value.
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
distance(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDDistanceFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance
distance(NumberVector<?>, NumberVector<?>, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction
Computes the distance between two given DatabaseObjects according to this
distance function.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.ERiCDistanceFunction.Instance
Note, that the pca of o1 must have equal ore more strong eigenvectors
than the pca of o2.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PCABasedCorrelationDistanceFunction.Instance
distance(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DBIDDistanceFunction
Returns the distance between the two objects specified by their object ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Returns the distance between the two objects specified by their objects
ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Returns the distance between the two objects specified by their objects
ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
Returns the distance between the two objects specified by their objects
ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
Returns the distance between the two objects specified by their objects
ids.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
Computes the distance between two given real vectors according to this
distance function.
distance(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction.Instance
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance.Instance
distance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction
Computes the distance between two given DatabaseObjects according to this
distance function.
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ProxyDistanceFunction
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance
distance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction
distance(V, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
distance(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Instance
Note, that the pca of o1 must have equal ore more strong eigenvectors
than the pca of o2.
distance(V, V, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.LocalSubspaceDistanceFunction.Instance
Computes the distance between two given DatabaseObjects according to this
distance function.
Distance<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancevalue
The interface Distance defines the requirements of any instance class.
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
distance(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction
distance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry
The distance value belonging to the entry.
distance(DBID, DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Returns the distance between the two specified ids.
distance - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry
Distance value
distance(DimensionSimilarityMatrix, int, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter
distance(T, int, int) - Method in interface de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Adapter
Get the distance of two objects
distance(double[][], int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
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 class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
Parameter to specify the distance function to determine the distance
between database objects, must extend
DistanceFunction
.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinKDistance
OptionID for the base distance used to compute reachability
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
Parameter to specify the similarity function to derive the distance between
database objects from.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Parameter to indicate the distance function to be used to ascertain the
nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Parameter to indicate the distance function to be used to ascertain the
nearest neighbors.
DISTANCE_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory
Parameter to specify the distance function to determine the distance
between database objects, must extend
DistanceFunction
.
DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
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.CacheFloatDistanceInOnDiskMatrix
Parameter that specifies the name of the directory to be re-parsed.
DISTANCE_ID - Static variable in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParser
Parameter for distance function.
distanceAdapter - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
The mapping from cluster order entry to value
distancecache - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
distanceCache - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParsingResult
The cache of precomputed distances between the database objects.
distanceCalcs - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
For counting the number of distance computations.
distanceComparator() - Static method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
Get a comparator to sort by distance, then DBID
DistanceDBIDPair<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.ids
Pair containing a distance an an object ID
Note: there is no getter for the object, as this is a
DBIDRef
.
DistanceDBIDResult<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Collection of objects and their distances.
DistanceDBIDResultIter<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Iterator over distance-based query results.
DistanceDBIDResultUtil - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Utility classes for distance DBID results.
DistanceDBIDResultUtil() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResultUtil
DistanceEntry<D extends Distance<D>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
Helper class: encapsulates an entry in an Index and a distance value
belonging to this entry.
DistanceEntry(E, D, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.DistanceEntry
Constructs a new DistanceEntry object with the specified parameters.
distanceFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser
The distance function.
distanceFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.NumberDistanceParser.Parameterizer
The distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer
The distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
Distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering
The euclidean distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI.Parameterizer
The distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ReferenceBasedOutlierDetection
Distance function to use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer
The distance function to use on the non-spatial attributes.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.DBIDDistanceQuery
The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery
The distance function we use.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery
The distance function we use.
DistanceFunction<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Base interface for any kind of distances.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
Holds the similarity function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer
The distance function to use
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
The distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer
Hold the distance function to be used.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Holds the instance of the trees distance function.
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery
Spatial primitive distance function
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert
Distance function to use for measuring
distanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer
Distance function to use for measuring
DISTANCEFUNCTION - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
distanceFunction - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
Distance function
DISTANCEFUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
Parameter to specify the distance function to use
DistanceFunctionVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection
Factory for visualizers to generate an SVG-Element containing dots as markers
representing the kNN of the selected Database objects.
DistanceFunctionVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
Constructor
DistanceFunctionVisualization.Instance<D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection
Instance, visualizing a particular set of kNNs
DistanceFunctionVisualization.Instance(VisualizationTask) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization.Instance
Constructor
DistanceIntegerDBIDPair<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class storing a double distance a DBID.
DistanceIntegerDBIDPair(D, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DistanceIntegerDBIDPair
Constructor.
DistanceParameter<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a double value.
DistanceParameter(OptionID, D, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, DistanceFunction<?, D>, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and default value.
DistanceParameter(OptionID, D, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, DistanceFunction<?, D>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID and optional flag.
DistanceParameter(OptionID, D) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID.
DistanceParameter(OptionID, DistanceFunction<?, D>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter
Constructs a double parameter with the given optionID.
DistanceParser<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction.external
A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
DistanceParsingResult<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.external
Provides a cache of precomputed distances between the database objects.
DistanceParsingResult(Map<DBIDPair, D>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParsingResult
Provides a list of database objects, a list of label objects associated
with these objects and cached distances between these objects.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
DistanceQuery<O,D extends Distance<?>> - Interface in de.lmu.ifi.dbs.elki.database.query.distance
A distance query serves as adapter layer for database and primitive distances.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery
Hold the distance function to be used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
The distance query we used.
distanceQuery - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
The distance query.
DistanceSimilarityQuery<O,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.database.query
Interface that is a combination of distance and a similarity function.
DistanceStatisticsWithClasses<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Algorithm to gather statistics over the distance distribution in the data
set.
DistanceStatisticsWithClasses(DistanceFunction<? super O, D>, int, boolean, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
Constructor.
DistanceStatisticsWithClasses.Parameterizer<O,D extends NumberDistance<D,?>> - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
Parameterization class.
DistanceStatisticsWithClasses.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
DistanceStddevOutlier<O,D extends NumberDistance<D,?>> - Class in tutorial.outlier
A simple outlier detection algorithm that computes the standard deviation of
the kNN distances.
DistanceStddevOutlier(DistanceFunction<? super O, D>, int) - Constructor for class tutorial.outlier.DistanceStddevOutlier
Constructor.
DistanceStddevOutlier.Parameterizer<O,D extends NumberDistance<D,?>> - Class in tutorial.outlier
Parameterization class
DistanceStddevOutlier.Parameterizer() - Constructor for class tutorial.outlier.DistanceStddevOutlier.Parameterizer
DistanceUtil - Class in de.lmu.ifi.dbs.elki.distance
Class with distance related utility functions.
DistanceUtil() - Constructor for class de.lmu.ifi.dbs.elki.distance.DistanceUtil
distf - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
Distance function to use
distf - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
Distance function to use
distf - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexKNNQuery
Distance function
distf - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Distance function
distfun - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer
Distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
Distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.ALOCI
Distance function
distfunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut.Parameterizer
LPNorm distance function
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
distance function to use
distFunc - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer
Distance function
distq - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.HilOut
Distance query
Distribution - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution
Statistical distributions, with their common functions.
DistributionWithRandom - Interface in de.lmu.ifi.dbs.elki.math.statistics.distribution
Distribution that also has support for generating random numbers.
dists - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
Distance to the cluster centers.
divide(DBIDArrayIter, double[], ArrayList<DBIDs>, int, int, int, Mean) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity
Recursive call to further subdivide the array.
divided(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic
Divides this number by the given number.
divided(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
Database dimensionality.
dmax - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector
Database dimensionality.
dnum - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D
Our dimension, starting with 0
document - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
SVG document we plot to.
DOCUMENT_OPEN - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DOCUMENT_PROPERTIES - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DOCUMENT_SAVE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
DocumentationUtil - Class in de.lmu.ifi.dbs.elki.utilities.documentation
Utilities for extracting documentation from class annotations.
DocumentationUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.documentation.DocumentationUtil
DocumentParameters - Class in de.lmu.ifi.dbs.elki.application.internal
Class to generate HTML parameter descriptions for all classes implementing
the
Parameterizable
interface.
DocumentParameters() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
DocumentParameters.SortByOption - Class in de.lmu.ifi.dbs.elki.application.internal
Sort parameters by their option
DocumentParameters.SortByOption() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption
DocumentReferences - Class in de.lmu.ifi.dbs.elki.application.internal
Build a reference documentation for all available parameters.
DocumentReferences() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
documentReferences(List<Pair<Reference, List<Class<?>>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
documentReferencesWiki(List<Pair<Reference, List<Class<?>>>>, PrintStream) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
doDelete(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Removes the object with the specified id from this database.
doDetermineNextIntervalAtMaxLevel(Heap<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.
dofit - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Which parameters to fit
doKNNQuery(O, DoubleDistanceKNNHeap) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
Performs a k-nearest neighbor query for the given NumberVector with the
given parameter k and the according distance function.
doKNNQuery(O, KNNHeap<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeKNNQuery
Performs a k-nearest neighbor query for the given NumberVector with the
given parameter k and the according distance function.
DOMCloner - Class in de.lmu.ifi.dbs.elki.utilities.xml
Class for cloning XML document, with filter capabilites
DOMCloner() - Constructor for class de.lmu.ifi.dbs.elki.utilities.xml.DOMCloner
DONT_CARE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier
Symbolic value for subspaces not in use.
doRangeQuery(DBID, AbstractMTreeNode<O, DoubleDistance, ?, ?>, O, double, DoubleDistanceDBIDList) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Performs a range query on the specified subtree.
doRangeQuery(DBID, AbstractMTreeNode<O, D, ?, ?>, O, D, GenericDistanceDBIDList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery
Performs a range query on the specified subtree.
doRangeQuery(O, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Perform the actual query process.
doRangeQuery(O, D) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.GenericRStarTreeRangeQuery
Perform the actual query process.
doReverseKNNQuery(int, DBIDRef, GenericDistanceDBIDList<D>, ModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Performs a reverse knn query.
doReverseKNNQuery(DBIDRef, MkMaxTreeNode<O, D>, MkMaxEntry<D>, ModifiableDistanceDBIDResult<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
doReverseKNNQuery(int, DBIDRef, MkTabEntry<D>, MkTabTreeNode<O, D>, GenericDistanceDBIDList<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Performs a k-nearest neighbor query in the specified subtree for the given
query object and the given parameter k.
doRun(Relation<ParameterizationFunction>, FiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Runs the CASH algorithm on the specified database, this method is
recursively called until only noise is left.
doRunInTime(DBIDs, KNNQuery<O, D>, KNNQuery<O, D>, StepProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.LOF
Performs the Generalized LOF_SCORE algorithm on the given database and
returns a
LOF.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_CACHE_MAGIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Magic to identify double cache matrices
DOUBLE_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.distance.distancevalue.AbstractDistance
Pattern for parsing and validating double values
DOUBLE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.persistent.ByteArrayUtil
Static instance.
DOUBLE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Storage required for a double value.
DOUBLE_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Input type for algorithms that require number vector fields.
DOUBLEARRAYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Use a double array in the array API.
doubleArrayAdapter() - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the adapter for double arrays.
DoubleArrayAdapter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Use a double array as, well, double array in the ArrayAdapter API.
DoubleArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArrayAdapter
Constructor.
DoubleArrayStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram containing an array of doubles (i.e.
DoubleArrayStaticHistogram(int, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram
Constructor.
DoubleDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
Double-valued data store (avoids boxing/unboxing).
DoubleDBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids
Pair of a double value and a DBID
doubleDistance() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDistanceDBIDPair
Get the distance.
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction
Computes the squared Pearson correlation distance for two given feature
vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction
Computes the Pearson correlation distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction
Computes the squared Pearson correlation distance for two given feature
vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
Computes the cosine distance for two given feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.JeffreyDivergenceDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
Returns the distance between the specified FeatureVectors as a LP-Norm for
the currently set p.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
Compute the Manhattan distance.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleDistance(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDoubleDistanceFunction
Computes the distance between two given Objects according to this distance
function.
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseEuclideanDistanceFunction
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseManhattanDistanceFunction
doubleDistance(SparseNumberVector<?>, SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseMaximumDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
Provides the squared Euclidean distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
Computes the distance between two given DatabaseObjects according to this
distance function.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
Provides the Euclidean distance between two given feature vectors in the
selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
Provides the Euclidean distance between two given feature vectors in the
selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
Provides the Euclidean distance between two given feature vectors in the
selected dimensions.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
Provides the Dynamic Time Warping distance between the given two vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
Provides the Edit Distance on Real Sequence distance between the given two
vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
Provides the Edit Distance With Real Penalty distance between the given two
vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
Provides the Longest Common Subsequence distance between the given two
vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction
Provides the Weighted distance for feature vectors.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedLPNormDistanceFunction
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedSquaredEuclideanDistanceFunction
Provides the squared Euclidean distance between the given two vectors.
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceDBIDList.Iter
doubleDistance() - Method in interface de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceDBIDResultIter
Get the distance
doubleDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList.Itr
DoubleDistance - Class in de.lmu.ifi.dbs.elki.distance.distancevalue
Provides a Distance for a double-valued distance.
DoubleDistance() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
Empty constructor for serialization purposes.
DoubleDistance(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
Constructs a new DoubleDistance object that represents the double argument.
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class tutorial.distancefunction.MultiLPNorm
doubleDistance(NumberVector<?>, NumberVector<?>) - Method in class tutorial.distancefunction.TutorialDistanceFunction
DoubleDistanceClusterOrderEntry - Class in de.lmu.ifi.dbs.elki.result.optics
Provides an entry in a cluster order.
DoubleDistanceClusterOrderEntry(DBID, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.result.optics.DoubleDistanceClusterOrderEntry
Creates a new entry in a cluster order with the specified parameters.
DoubleDistanceDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
Double-valued data store (avoids boxing/unboxing).
DoubleDistanceDBIDList - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Default class to keep a list of distance-object pairs.
DoubleDistanceDBIDList() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceDBIDList
Constructor.
DoubleDistanceDBIDList(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceDBIDList
Constructor.
DoubleDistanceDBIDList.Iter - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Iterator class.
DoubleDistanceDBIDList.Iter() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceDBIDList.Iter
DoubleDistanceDBIDPair - Interface in de.lmu.ifi.dbs.elki.database.ids
Pair containing a double distance a DBID.
DoubleDistanceDBIDResultIter - Interface in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Iterator for double valued distance-based query results.
DoubleDistanceIntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class storing a double distance a DBID.
DoubleDistanceIntegerDBIDPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleDistanceIntegerDBIDPair
Constructor.
DoubleDistanceKNNHeap - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Heap for collecting double-valued KNN instances.
DoubleDistanceKNNHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNHeap
Constructor.
DoubleDistanceKNNHeap.Comp - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Comparator to use.
DoubleDistanceKNNHeap.Comp() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNHeap.Comp
DoubleDistanceKNNList - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Finalized KNN List.
DoubleDistanceKNNList(Collection<DoubleDistanceDBIDPair>, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList
Constructor.
DoubleDistanceKNNList(DoubleDistanceKNNHeap) - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList
Constructor, to be called from KNNHeap only.
DoubleDistanceKNNList(Heap<DoubleDistanceDBIDPair>, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList
Constructor, to be called from KNNHeap only.
DoubleDistanceKNNList.Itr - Class in de.lmu.ifi.dbs.elki.distance.distanceresultlist
Iterator.
DoubleDistanceKNNList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList.Itr
DoubleDistanceMetricalIndexKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query
Instance of a KNN query for a particular spatial index.
DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O, DoubleDistance, ?, ?>, DistanceQuery<O, DoubleDistance>, PrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexKNNQuery
Constructor.
DoubleDistanceMetricalIndexRangeQuery<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query
Instance of a range query for a particular spatial index.
DoubleDistanceMetricalIndexRangeQuery(AbstractMTree<O, DoubleDistance, ?, ?>, DistanceQuery<O, DoubleDistance>, PrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexRangeQuery
Constructor.
DoubleDistanceRStarTreeKNNQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Instance of a KNN query for a particular spatial index.
DoubleDistanceRStarTreeKNNQuery(AbstractRStarTree<?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery
Constructor.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Optimized double distance entry implementation.
DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry(SpatialEntry, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeKNNQuery.DoubleDistanceEntry
Constructor.
DoubleDistanceRStarTreeRangeQuery<O extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query
Instance of a range query for a particular spatial index.
DoubleDistanceRStarTreeRangeQuery(AbstractRStarTree<?, ?>, DistanceQuery<O, DoubleDistance>, SpatialPrimitiveDoubleDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.DoubleDistanceRStarTreeRangeQuery
Constructor.
DoubleDistanceSearchCandidate - Class in de.lmu.ifi.dbs.elki.index.tree.query
Candidate for expansion in a distance search (double optimized
implementation).
DoubleDistanceSearchCandidate(double, Integer) - 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
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 - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap structure.
DoubleHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
Constructor with initial capacity.
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.
DoubleIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing an integer and a double.
DoubleIntPair(double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
Constructor
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNHeap
Get the distance to the k nearest neighbor, or maxdist otherwise.
doubleKNNDistance() - Method in class de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNList
Get the kNN distance as double value.
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.
DoubleMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap structure.
DoubleMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
Constructor with default capacity.
DoubleMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
Constructor with initial capacity.
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDoubleDistanceFunction
Computes the distance between the two given MBRs according to this
distance function.
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
doubleMinDist(SpatialComparable, SpatialComparable) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedLPNormDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
doubleMinDistObject(SpatialComparable, NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
DoubleMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap structure.
DoubleMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
Constructor with default capacity.
DoubleMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
Constructor with initial capacity.
DoubleMinMax - Class in de.lmu.ifi.dbs.elki.math
Class to find the minimum and maximum double values in data.
DoubleMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Constructor without starting values.
DoubleMinMax(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Constructor with predefined minimum and maximum values.
DoubleMTreeDistanceSearchCandidate - Class in de.lmu.ifi.dbs.elki.index.tree.query
Encapsulates the attributes for a object that can be stored in a heap.
DoubleMTreeDistanceSearchCandidate(double, Integer, DBID, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.query.DoubleMTreeDistanceSearchCandidate
Creates a new heap node with the specified parameters.
DoubleNorm<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Interface for norms in the double domain.
doubleNorm(O) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DoubleNorm
Compute the norm of object obj as double value.
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
Returns the Manhattan norm of the given vector.
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseEuclideanDistanceFunction
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseLPNormDistanceFunction
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseManhattanDistanceFunction
doubleNorm(SparseNumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SparseMaximumDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SquaredEuclideanDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
doubleNorm(NumberVector<?>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
DoubleObjMaxHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap structure.
DoubleObjMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMaxHeap
Default constructor: default capacity, natural ordering.
DoubleObjMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMaxHeap
DoubleObjMinHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap structure.
DoubleObjMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMinHeap
Default constructor: default capacity, natural ordering.
DoubleObjMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjMinHeap
DoubleObjPair<O> - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing a native double value and an arbitrary object.
DoubleObjPair(double, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair
Constructor.
doubleOptimize - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
Use optimizations for double values
DoubleParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a double value.
DoubleParameter(OptionID, double, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
DoubleParameter(OptionID, ParameterConstraint<Number>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
DoubleParameter(OptionID, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
Constructs a double parameter with the given optionID and default value.
DoubleParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
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.
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
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
Provides a double value for the integer representation of this Bit as given
by
intValue()
.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.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
Returns the value of the specified attribute.
doubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the value in the specified dimension as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector
doubleValue() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Returns the double value representation of this RationalNumber.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
doubleValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DoubleDataStore
Retrieves an object from the storage.
doubleValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.DoubleDistanceDataStore
Retrieves an object from the storage.
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleDistanceStore
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleDistanceStore
doubleValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
doubleValue() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDPair
Get the double value of the pair.
doubleValue() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDoubleDBIDPair
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.BitDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.FloatDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance
doubleValue() - Method in class de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance
Get the value as double.
doubleValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
doubleValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter
Get the parameter value as double.
DoubleVector - Class in de.lmu.ifi.dbs.elki.data
A DoubleVector is to store real values approximately as double values.
DoubleVector(double[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Private constructor.
DoubleVector(List<Double>) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Provides a feature vector consisting of double values according to the
given Double values.
DoubleVector(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Provides a DoubleVector consisting of the given double values.
DoubleVector(Double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Provides a DoubleVector consisting of the given double values.
DoubleVector(Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector
Expects a matrix of one column.
DoubleVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for Double vectors.
DoubleVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory
DoubleVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
DoubleVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory.Parameterizer
DoubleVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense double vectors with up to
Short.MAX_VALUE
dimensions, by using a short for storing the
dimensionality.
DoubleVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
DoubleVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense double vectors with up to 127 dimensions, by
using a byte for storing the dimensionality.
DoubleVector.SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
DoubleVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for variable dimensionality by using VarInt encoding.
DoubleVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer
DoubleVectorLabelParser - Class in de.lmu.ifi.dbs.elki.datasource.parser
Deprecated.
Use NumberVectorLabelParser instead, which defaults to DoubleVector.
DoubleVectorLabelParser(Pattern, char, BitSet) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser
Deprecated.
Constructor.
DoubleVectorLabelParser() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser
Deprecated.
Constructor with default values.
DoubleVectorLabelParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser
Deprecated.
Parameterization class.
DoubleVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser.Parameterizer
Deprecated.
DOWN - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow
Constant for "down"
downsample(Object[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
Perform downsampling on a number of bins.
downsample(double[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Perform downsampling on a number of bins.
downsample(float[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Perform downsampling on a number of bins.
downsample(int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Perform downsampling on a number of bins.
downsample(long[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Perform downsampling on a number of bins.
downsample(short[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Perform downsampling on a number of bins.
DragableArea - Class in de.lmu.ifi.dbs.elki.visualization.batikutil
A simple dragable area for Batik.
DragableArea(SVGPlot, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea(SVGPlot, Element, double, double, double, double, DragableArea.DragListener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
Constructor for a dragable area. use getElement() to get the DOM node.
DragableArea.DragListener - Interface in de.lmu.ifi.dbs.elki.visualization.batikutil
Listener interface for drag events.
drawArc(SVGPath, Vector, Vector, Vector, Vector, Vector, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
Draw an arc to simulate the hyper ellipse.
drawAxis(SVGPlot, Element, LinearScale, double, double, double, double, SVGSimpleLinearAxis.LabelStyle, StyleLibrary) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis
Plot an axis with appropriate scales
drawClusteringInfo() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
drawClusters(List<Cluster<OPTICSModel>>, int, Map<Cluster<?>, String>) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization.Instance
Recursively draw clusters
drawCosine(SVGPlot, Projection2D, NumberVector<?>, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
Visualizes Cosine and ArcCosine distance functions
drawCross(SVGPlot, Projection2D, NumberVector<?>, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "cross" hypersphere
drawDelaunay(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Draw the Delaunay triangulation.
drawEuclidean(SVGPlot, Projection2D, NumberVector<?>, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "euclidean" hypersphere
drawFakeVoronoi(Projection2D, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Fake Voronoi diagram.
drawFilled(SVGPlot, String, Projection2D, double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Filled hypercube.
drawFilled(SVGPlot, String, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Filled hypercube.
drawFrame(SVGPlot, Projection2D, double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Wireframe hypercube.
drawFrame(SVGPlot, Projection2D, V, V) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Wireframe hypercube.
drawHullArc(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
drawHullLines(int, Vector, Polygon) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
drawLine(int, int, int, int, byte[][]) - Static method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity
Draw a line onto the array, using the classic Bresenham algorithm.
drawLp(SVGPlot, Projection2D, NumberVector<?>, D, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "Lp" hypersphere
drawManhattan(SVGPlot, Projection2D, NumberVector<?>, D) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere
Wireframe "manhattan" hypersphere
drawSegments() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
Create the segments
drawSphere2D(int, Vector, Vector[]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
drawStyle - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance
drawTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Draw a line given a series of coordinates.
drawVoronoi(Projection2D, List<SweepHullDelaunay2D.Triangle>, List<double[]>) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.VoronoiDraw
Draw a Voronoi diagram
dropdownEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor
The dropdown editor
DropEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
The "drop" filter looks for the largest drop in normalized relative
eigenvalues.
DropEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter
Constructor.
DropEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Parameterization class.
DropEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer
dstColorModel - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext
Destination color model
DTWDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Provides the Dynamic Time Warping distance for FeatureVectors.
DTWDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction
Constructor.
DTWDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Parameterization class.
DTWDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction.Parameterizer
DummyAlgorithm<O extends NumberVector<?>> - Class in de.lmu.ifi.dbs.elki.algorithm
Dummy algorithm, which just iterates over all points once, doing a 10NN query
each.
DummyAlgorithm() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DummyAlgorithm
Constructor.
dumpDebugFile() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot
Dump the SVG plot to a debug file.
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
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.
DynamicParameters - Class in de.lmu.ifi.dbs.elki.gui.util
Wrapper around a set of parameters for ELKI, that may not yet be complete or
correct.
DynamicParameters() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters
Constructor
DynamicParameters.Node - Class in de.lmu.ifi.dbs.elki.gui.util
Node in the option tree (well, actually list)
DynamicParameters.Node(Parameter<?>, String, BitSet, int) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node
Constructor.
DynamicParameters.RemainingOptions - Class in de.lmu.ifi.dbs.elki.gui.util
Dummy option class that represents unhandled options
DynamicParameters.RemainingOptions() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.RemainingOptions
Constructor.
dynamicStart - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
Keep track of the lowest unused dynamic DBID
dynamicUsed - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ReusingDBIDFactory
Bit set to keep track of dynamic DBIDs