- h - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut
-
Hilbert precision
- h - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer
-
Hilbert curve precision
- h - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF
-
Bandwidth scaling factor.
- h - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF.Parameterizer
-
Bandwidth scaling factor.
- h - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer
-
Multiplicator.
- H - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
Array for internal storage of nonsymmetric Hessenberg form.
- h - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem
-
Size: height
- h - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton
-
Height
- H_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer
-
Parameter to specify the maximum Hilbert-Level
- H_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF.Parameterizer
-
Option ID for h - kernel bandwidth scaling
- H_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer
-
Neighborhood size.
- halflife - Variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Parameterizer
-
Half-life aging parameter.
- HALFLIFE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Parameterizer
-
Parameter for half-life aging.
- HALFPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil
-
Half the value of Pi.
- HalfPosPositions(int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfPosPositions
-
Constructor.
- halfsteps - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable
-
Number of steps div 2
- halfsteps - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable
-
Number of steps div 2
- HalfTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable
-
Constructor for tables with
- HalfWidthPositions(int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.HalfWidthPositions
-
Constructor.
- HaltonUniformDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Halton sequences are a pseudo-uniform distribution.
- HaltonUniformDistribution(double, double, int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Constructor for a halton pseudo uniform distribution on the interval [min,
max[
- HaltonUniformDistribution(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Constructor for a halton pseudo uniform distribution on the interval [min,
max[
- HaltonUniformDistribution(double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Constructor for a halton pseudo uniform distribution on the interval [min,
max[
- HaltonUniformDistribution(double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
-
Constructor for a halton pseudo uniform distribution on the interval [min,
max[
- HaltonUniformDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution
-
Parameterization class
TODO: allow manual parameterization of sequence parameters!
- hammingDistance(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
-
Compute the Hamming distance of two bit vectors.
- hammingDistance(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Compute the Hamming distance (Size of symmetric difference), i.e.
- hammingDistance(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Compute the Hamming distance (Size of symmetric difference), i.e.
- HammingDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.set
-
Computes the Hamming distance of arbitrary vectors - i.e. counting, on how
many places they differ.
- HammingDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
-
- HammingDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.set
-
Parameterization class.
- hammingDistanceNumberVector(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
-
Version for number vectors.
- handleDelete() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow
-
Handle delete.
- handleEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.AddCSSClass
-
Event handler
- handleEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CSSHoverClass
-
Event handler
- handleEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea
-
- handleEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.RemoveCSSClass
-
Event handler
- handleEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy
-
- handleHoverEvent(Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
-
Handle the hover events.
- handleOverflow(AbstractRStarTree<N, E, ?>, N, IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment
-
- handleOverflow(AbstractRStarTree<N, E, ?>, N, IndexTreePath<E>) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.OverflowTreatment
-
Handle overflow in the given node.
- handleOverflow(AbstractRStarTree<N, E, ?>, N, IndexTreePath<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment
-
- handleOverflow(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap
-
- handleOverflow(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap
-
- handleOverflow(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap
-
Handle an overflow in the structure.
- handleOverflow(E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap
-
Handle an overflow in the structure.
- Handler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.Handler
-
- handler - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup
-
Event handler
- Handler() - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Handler
-
- handleResize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
-
Handle a resize event.
- HandlerList<H> - Class in de.lmu.ifi.dbs.elki.utilities
-
Manages a list of handlers for objects.
- HandlerList() - Constructor for class de.lmu.ifi.dbs.elki.utilities.HandlerList
-
- handlers - Variable in class de.lmu.ifi.dbs.elki.utilities.HandlerList
-
List with registered Handlers.
- handleURL(ParsedURL, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
-
- handleURL(ParsedURL) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
-
Statically handle the URL access.
- hardClustering(WritableDataStore<double[]>, List<P3C.Signature>, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C
-
Creates a hard clustering from the specified soft membership matrix.
- has(VisualizationTask.UpdateFlag) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Update if any oft these bits is set.
- has(VisualizationTask.RenderFlag) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
Update if any oft these flags is set.
- hasChildren() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
-
Returns true if this interval has children.
- hasDBIDs() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
- hasDBIDs() - Method in interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource
-
Indicate whether the stream contains DBIDs.
- hasDBIDs() - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle
-
- hasDBIDs() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
-
- hasDBIDs() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
-
- hasDefaultValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
-
- hasDefaultValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
-
Checks if this parameter has a default value.
- hasErrors() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization
-
Return true when there have been errors.
- hasFOPInstalled() - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.BatikUtil
-
Test whether FOP were installed (for PDF, PS and EPS output support).
- hasHandled - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
-
Indicates that the node (or its child nodes) which is represented by this
entry contains handled data objects.
- hasHandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
-
- hasHandled() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry
-
Returns true, if the node (or its child nodes) which is represented by this entry
contains handled data objects.
- hasHandled - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
-
Indicates that the node (or its child nodes) which is represented by this
entry contains handled data objects.
- hasHandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
-
- hasHandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
-
Returns true, if the children of this node (or their child nodes) contain
handled data objects.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair
-
hashCode is used in updating the heap!
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry
-
Returns a hash code value for the object.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.BitVector
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.ClassLabel
-
Returns the hashCode of the String-representation of this ClassLabel.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.ExternalID
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.data.Subspace
-
- hashCode() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBID
-
In contrast to
DBIDRef, the DBID interface is supposed to have a
stable hash code.
- hashCode() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
-
Canonical hash function, mixing the two hash values.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineUnitlengthDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineUnitlengthDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedQuadraticDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.FisherRaoDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDiscriminationDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter
-
Deprecated.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.FilteredDistanceResultAdapter
-
Deprecated.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter
-
Deprecated.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter
-
Deprecated.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
-
Returns a hash code value for this object
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MTreeSearchCandidate
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
-
- hashCode(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Compute the hash code for the vector.
- hashCode(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
-
Compute hash code
- hashCode() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
-
Returns as hash code value for this node the id of this node.
- hashCode(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Compute a hash code for the given bitset.
- hashCode(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil
-
Compute a hash code for the given bitset.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair
-
Trivial hashCode implementation mixing the two integers.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair
-
Trivial hashCode implementation mixing the two integers.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair
-
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
-
Trivial hashCode implementation mixing the two integers.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
-
Trivial hashCode implementation mixing the two integers.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair
-
Canonical hash function, mixing the two hash values.
- hashCode() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
-
- hashfunctions - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
-
Hash functions to use.
- HashmapDatabase - Class in de.lmu.ifi.dbs.elki.database
-
Database storing data using hashtable storage, and thus allowing additional
and removal of objects.
- HashmapDatabase(DatabaseConnection, Collection<? extends IndexFactory<?>>) - Constructor for class de.lmu.ifi.dbs.elki.database.HashmapDatabase
-
Constructor.
- HashmapDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.HashmapDatabase
-
Constructor with no indexes.
- HashmapDatabase.Parameterizer - Class in de.lmu.ifi.dbs.elki.database
-
Parameterization class.
- HashMapHierarchy<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Centralized hierarchy implementation, using a HashMap of Lists.
- HashMapHierarchy() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
-
Constructor.
- HashMapHierarchy.ItrAll - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Iterator over all known elements, by insertion order.
- HashMapHierarchy.ItrAnc - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Iterator over all Ancestors.
- HashMapHierarchy.ItrDesc - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Iterator over all descendants.
- HashMapHierarchy.Rec<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Hierarchy pointers for an object.
- HashMapHierarchy.Rec.ItrChildren - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Child iterator.
- HashMapHierarchy.Rec.ItrChildrenReverse - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Child iterator.
- HashMapHierarchy.Rec.ItrParents - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Parent iterator.
- HashMapHierarchy.Rec.ItrParentsReverse - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
Parent iterator.
- hashObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction
-
- hashObject(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction
-
- hashObject(V) - Method in interface de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.LocalitySensitiveHashFunction
-
Compute the hash value of an object.
- hashObject(V, double[]) - Method in interface de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.LocalitySensitiveHashFunction
-
Compute the hash value of an object (faster version).
- hashObject(NumberVector) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
-
- hashObject(NumberVector, double[]) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
-
- HASHPRIME - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util
-
Prime number used in hash code computation.
- HashSetDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Hash-organized DBIDs
- HashSetModifiableDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids
-
Set-oriented implementation of a modifiable DBID collection.
- hashtables - Variable in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
-
The actual table
- hasids - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
-
Whether or not we have DBIDs.
- haslabels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
-
Whether or not the data set has labels.
- haslabels - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser
-
Whether or not the data set has labels.
- haslbl - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
-
Flag if labels are present.
- hasMBR() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
-
Test whether this entry already has an MBR.
- hasMeasure(String) - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
-
Check if a measurement already exists.
- hasNext() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition
-
Test whether there is a next value.
- hasNext() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator
-
- hasNext() - Method in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
-
Tests if this enumeration contains more elements.
- hasNext() - Method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator
-
- hasNext() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeIterator
-
Check if the next node is defined.
- hasNext() - Method in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
-
Check if the next node is defined.
- hasNext() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr
-
- hasOverflow(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
-
Returns true if in the specified node an overflow has occurred, false
otherwise.
- hasOverflow(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
-
Returns true if in the specified node an overflow occurred, false
otherwise.
- hasOverflow(FlatRStarTreeNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
-
Returns true if in the specified node an overflow occurred, false
otherwise.
- hasOverflow(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
-
Returns true if in the specified node an overflow occurred, false
otherwise.
- hasUncachedQueries() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.CachedDistanceQuery
-
Check if any queries were uncached (not using DBIDs).
- hasUnderflow(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
-
Returns true if in the specified node an underflow occurred, false
otherwise.
- hasUnderflow(FlatRStarTreeNode) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
-
Returns true if in the specified node an underflow occurred, false
otherwise.
- hasUnderflow(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.NonFlatRStarTree
-
Returns true if in the specified node an underflow occurred, false
otherwise.
- hasUnhandled - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
-
Indicates that the node (or its child nodes) which is represented by this
entry contains unhandled data objects.
- hasUnhandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry
-
- hasUnhandled() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry
-
Returns true, if the node (or its child nodes) which is represented by this entry
contains unhandled data objects.
- hasUnhandled - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
-
Indicates that the node (or its child nodes) which is represented by this
entry contains unhandled data objects.
- hasUnhandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry
-
- hasUnhandled() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
-
Returns true, if the children of this node (or their child nodes) contain
unhandled data objects.
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization
-
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization
-
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization
-
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
-
- hasUnusedParameters() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization
-
Check for unused parameters
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization
-
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
-
- hasUnusedParameters() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization
-
- haversineFormulaDeg(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the approximate great-circle distance of two points using the
Haversine formula
Complexity: 5 trigonometric functions, 1 sqrt.
- haversineFormulaRad(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil
-
Compute the approximate great-circle distance of two points using the
Haversine formula
Complexity: 5 trigonometric functions, 1-2 sqrt.
- HDBSCANAdapter(ArrayDBIDs, DoubleDataStore, DistanceQuery<?>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
-
Constructor.
- HDBSCANHierarchyExtraction - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction
-
Extraction of simplified cluster hierarchies, as proposed in HDBSCAN.
- HDBSCANHierarchyExtraction(HierarchicalClusteringAlgorithm, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
-
Constructor.
- HDBSCANHierarchyExtraction.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction
-
Instance for a single data set.
- HDBSCANHierarchyExtraction.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction
-
Parameterization class.
- HDBSCANHierarchyExtraction.TempCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction
-
Temporary cluster.
- HDBSCANHierarchyExtractionEvaluator - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor
-
Extract clusters from a hierarchical clustering, during the evaluation phase.
- HDBSCANHierarchyExtractionEvaluator(HDBSCANHierarchyExtraction) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator
-
Constructor.
- HDBSCANHierarchyExtractionEvaluator.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor
-
Parameterization class.
- HDBSCANLinearMemory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
Linear memory implementation of HDBSCAN clustering.
- HDBSCANLinearMemory(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HDBSCANLinearMemory
-
Constructor.
- HDBSCANLinearMemory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
Parameterization class
- header - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree
-
Header table
- header - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
-
The header of this page file.
- header - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
-
The header of this page file.
- header - Variable in class de.lmu.ifi.dbs.elki.result.CollectionResult
-
Meta information (printed into the header)
- header - Variable in class de.lmu.ifi.dbs.elki.result.EvaluationResult
-
Header lines.
- HEADER_POS_SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
-
Position of file size (in records).
- headersize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
-
Size of the header in the file.
- heap - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector
-
Output heap.
- heap - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu
-
The priority queue for the algorithm.
- heap - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance
-
Heap of candidates.
- heap - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
-
The main heap.
- Heap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
-
Basic in-memory heap structure.
- Heap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Default constructor: default capacity, natural ordering.
- Heap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Constructor with initial capacity, natural ordering.
- Heap(Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Constructor with Comparator.
- Heap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Constructor with initial capacity and Comparator.
- Heap.UnorderedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
-
Heap iterator.
- heapifyDown(Comparable<Object>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(Comparable<Object>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(double, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Execute a "Heapify Downwards" aka "SiftDown".
- heapifyDown(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
-
Invoke heapify-down for the root object.
- heapifyDown(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
-
Invoke heapify-down for the root object.
- heapifyDown(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
-
- heapifyUp(int, Comparable<Object>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, Comparable<Object>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, double, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, E) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Execute a "Heapify Upwards" aka "SiftUp".
- heapifyUp(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
-
Heapify-Up method for 2-ary heap.
- heapifyUp(int, Object) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
-
Execute a "Heapify Upwards" aka "SiftUp".
- heapModified() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
-
Called at the end of each heap modification.
- HeapMSTCollector(DoubleLongHeap, FiniteProgress, Logging) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector
-
Constructor.
- heapsize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansMinusMinus.Instance
-
Desired size of the heap.
- HeapUtil - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
-
Next power of 2, for heaps.
- HeapUtil() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.HeapUtil
-
Private constructor.
- HeDESNormalizationOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier
-
Normalization used by HeDES
Reference:
H.
- HeDESNormalizationOutlierScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
-
- height - Variable in class de.lmu.ifi.dbs.elki.application.experiments.VisualizeGeodesicDistances
-
Image size.
- height - Variable in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel
-
Distance to child cluster
- height - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
-
The height of this R*-Tree.
- height - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
-
The created height
- height - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot
-
Height of plot
- height - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.AbstractSimpleOverlay
-
Screen ratio.
- height - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.util.Simple1DOFCamera
-
Height
- height - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
-
Height
- heights - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger
-
Column heights
- HellingerDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity
similarity, Matusita distance, Hellinger-Kakutani metric on a probability
distribution.
- HellingerDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
-
Deprecated.
- HellingerDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic
-
Parameterization class.
- HellingerHistogramNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
-
Normalize histograms by scaling them to unit absolute sum, then taking the
square root of the absolute value in each attribute, times the normalization
constant \(1/\sqrt{2}\).
- HellingerHistogramNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization
-
Constructor.
- HellingerHistogramNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
-
Parameterization class.
- HELP_BROWSER - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
-
- HELP_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
-
Flag to obtain help-message.
- HELP_LONG_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
-
Flag to obtain help-message.
- HiCO<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
-
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies
of correlation clusters.
- HiCO(KNNQueryFilteredPCAIndex.Factory<V>, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
-
Constructor.
- HiCO.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
-
Instance of the OPTICS algorithm.
- HiCO.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
-
Parameterization class.
- HiCS<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta
-
Algorithm to compute High Contrast Subspaces for Density-Based Outlier
Ranking.
- HiCS(int, double, OutlierAlgorithm, GoodnessOfFitTest, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS
-
Constructor.
- HiCS.HiCSSubspace - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta
-
BitSet that holds a contrast value as field.
- HiCS.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta
-
Parameterization class.
- HiCSDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Use the statistical tests as used by HiCS to measure dependence of variables.
- HiCSDependenceMeasure(GoodnessOfFitTest, int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure
-
Constructor.
- HiCSDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Parameterization class.
- HiCSSubspace() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace
-
Constructor.
- hier - Variable in class de.lmu.ifi.dbs.elki.KDDTask
-
The result hierarchy.
- hier - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext
-
The full result object
- hier - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Evaluation
-
Result hierarchy
- hier2 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter
-
Secondary hierarchy.
- hierarchical - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram
-
Include empty clusters in the hierarchy produced.
- hierarchical - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Parameterizer
-
Flag to generate a hierarchical result.
- hierarchical - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
-
Return a hierarchical result.
- hierarchical - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Parameterizer
-
Return a hierarchical result.
- HIERARCHICAL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram.Parameterizer
-
Parameter to configure the output mode (nested or truncated clusters).
- HIERARCHICAL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Parameterizer
-
Produce a hierarchical result.
- HierarchicalClassLabel - Class in de.lmu.ifi.dbs.elki.data
-
A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure
of classes.
- HierarchicalClassLabel(String, Pattern, String) - Constructor for class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
-
Constructs a hierarchical class label from the given name, using the given
Pattern to match separators of different levels in the given name, and
setting the given separator-String to separate different levels in String
representations of this HierarchicalClassLabel.
- HierarchicalClassLabel(String) - Constructor for class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel
-
Constructs a hierarchical class label from the given name.
- HierarchicalClassLabel.Factory - Class in de.lmu.ifi.dbs.elki.data
-
Factory class.
- HierarchicalClusteringAlgorithm - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
-
Interface for hierarchical clustering algorithms.
- HierarchicalResult - Interface in de.lmu.ifi.dbs.elki.result
-
Result with an internal hierarchy.
- hierarchy - Variable in class de.lmu.ifi.dbs.elki.data.Clustering
-
Cluster hierarchy.
- hierarchy - Variable in class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult
-
The hierarchy storage.
- Hierarchy<O> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy
-
This interface represents an (external) hierarchy of objects.
- highPrecision(double...) - Static method in class de.lmu.ifi.dbs.elki.math.Mean
-
Static helper function, with extra precision
- hilbert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature
-
Hilbert representation
TODO: use byte[] to save some memory, but slower?
- HilbertFeatures(Relation<O>, double[], double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
-
Constructor.
- HilbertRef(SpatialComparable, long[]) - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter.HilbertRef
-
Constructor.
- HilbertSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Sort object along the Hilbert Space Filling curve by mapping them to their
Hilbert numbers and sorting them.
- HilbertSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter
-
- HilbertSpatialSorter.HilbertRef - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Object used in spatial sorting, combining the spatial object and the object
ID.
- HilbertSpatialSorter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves
-
Parameterization class.
- HilFeature(DBID, ObjectHeap<DoubleDBIDPair>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature
-
Constructor.
- HillEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
-
Hill estimator of the intrinsic dimensionality (maximum likelihood estimator
for ID).
- HillEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.HillEstimator
-
- HillEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
-
Parameterization class.
- HilOut<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Fast Outlier Detection in High Dimensional Spaces
Outlier Detection using Hilbert space filling curves
Reference:
F.
- HilOut(LPNormDistanceFunction, int, int, int, Enum<HilOut.ScoreType>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut
-
Constructor.
- HilOut.HilbertFeatures - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Class organizing the data points along a hilbert curve.
- HilOut.HilFeature - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Hilbert representation of a single object.
- HilOut.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Parameterization class
- HilOut.ScoreType - Enum in de.lmu.ifi.dbs.elki.algorithm.outlier.distance
-
Type of output: all scores (upper bounds) or top n only
- HINT_BULK - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: request bulk support.
- HINT_DB - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
-
Data that is the main database.
- HINT_EXACT - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: exact - no approximations allowed!
- HINT_HEAVY_USE - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: heavy use - caching/preprocessing/approximation recommended
- HINT_HOT - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
-
"Hot" data, that will be used a lot, preferring memory storage.
- HINT_NO_CACHE - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: no cache instances
- HINT_OPTIMIZED_ONLY - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: no linear scans allowed - return null then!
- HINT_SINGLE - Static variable in interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery
-
Optimizer hint: only a single request will be done - avoid expensive
optimizations
- HINT_SORTED - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
-
Data that might require sorted access (so hashmaps are suboptimal)
- HINT_STATIC - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
-
"static" data, that will not change often
- HINT_TEMP - Static variable in interface de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory
-
Storage will be used only temporary.
- HiSC<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Implementation of the HiSC algorithm, an algorithm for detecting hierarchies
of subspace clusters.
- HiSC(HiSCPreferenceVectorIndex.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC
-
Constructor.
- HiSC.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Algorithm instance for a single data set.
- HiSC.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
-
Parameterization class.
- HiSCPreferenceVectorIndex<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
-
Preprocessor for HiSC preference vector assignment to objects of a certain
database.
- HiSCPreferenceVectorIndex(Relation<V>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
-
Constructor.
- HiSCPreferenceVectorIndex.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
-
Factory class.
- HiSCPreferenceVectorIndex.Factory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.preference
-
Parameterization class.
- Histogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
-
Abstract API for histograms.
- Histogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
-
Array iterator.
- HISTOGRAM_BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer
-
Option to configure the number of bins to use.
- HISTOGRAM_BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer
-
Option to configure the number of bins to use.
- HISTOGRAM_BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer
-
Option to configure the number of bins to use.
- HISTOGRAM_BINS_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer
-
Parameter to specify the number of bins to use in histogram.
- HistogramFactory - Class in de.lmu.ifi.dbs.elki.visualization.projector
-
Produce one-dimensional projections.
- HistogramFactory(int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory
-
Constructor.
- HistogramFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.projector
-
Parameterization class.
- HistogramIntersectionDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
-
Intersection distance for color histograms.
- HistogramIntersectionDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
-
- HistogramIntersectionDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
-
Parameterization class.
- HistogramJitterFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Add Jitter, preserving the histogram properties (same sum, nonnegative).
- HistogramJitterFilter(double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter
-
Constructor.
- HistogramJitterFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform
-
Parameterization class.
- HistogramMatchDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.histogram
-
Distance function based on histogram matching, i.e., Manhattan distance on
the cumulative density function.
- HistogramMatchDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
-
- HistogramMatchDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.histogram
-
Parameterization class, using the static instance.
- HistogramProjector<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.visualization.projector
-
ScatterPlotProjector is responsible for producing a set of scatterplot
visualizations.
- HistogramProjector(Relation<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
-
Constructor.
- HistogramResult - Class in de.lmu.ifi.dbs.elki.result
-
Histogram result.
- HistogramResult(String, String, Collection<double[]>) - Constructor for class de.lmu.ifi.dbs.elki.result.HistogramResult
-
Constructor
- HistogramResult(String, String, Collection<double[]>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.result.HistogramResult
-
Constructor
- HistogramVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj
-
Visualizer to draw histograms.
- HistogramVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization
-
Constructor.
- HoeffdingsDDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Calculate Hoeffding's D as a measure of dependence.
- HoeffdingsDDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure
-
- HoeffdingsDDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Parameterization class.
- holdout - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask
-
Holds the holdout.
- holdout - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer
-
Holds the holdout.
- Holdout - Interface in de.lmu.ifi.dbs.elki.evaluation.classification.holdout
-
A holdout procedure is to provide a range of partitions of a database to
pairs of training and test data sets.
- HOLDOUT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer
-
Parameter to specify the holdout for evaluation, must extend
Holdout.
- homogeneRelativeVector(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Transform a relative vector into homogeneous coordinates.
- homogeneVector(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
-
Transform an absolute vector into homogeneous coordinates.
- HopkinsStatisticClusteringTendency - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
-
The Hopkins Statistic of Clustering Tendency measures the probability that a
data set is generated by a uniform data distribution.
- HopkinsStatisticClusteringTendency(NumberVectorDistanceFunction<? super NumberVector>, int, RandomFactory, int, int, double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency
-
Constructor.
- HopkinsStatisticClusteringTendency.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.statistics
-
Parameterization class.
- hopttwo - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator
-
Optimal bandwidth for a dimensionality of 2
- horizontalLineTo(double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
-
Draw a horizontal line to the given x coordinate.
- houghTransformation(boolean[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure
-
Perform a hough transformation on the binary image in "mat".
- HOURGLASS_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
-
Hourglass object.
- HOURGLASS_STYLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
-
Hourglass style.
- hoverer - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
-
React to mouse hover events
- hoverer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization
-
Our event listener.
- hoverlayer - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
-
Layer for hover elements
- hqr2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
Nonsymmetric reduction from Hessenberg to real Schur form.
- hqr2BacksubstituteComplex(int, double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
- hqr2BacksubstituteReal(int, double, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
- hqr2BackTransformation(int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
-
Back transformation to get eigenvectors of original matrix.
- HSBHistogramQuadraticDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
-
Distance function for HSB color histograms based on a quadratic form and
color similarity.
- HSBHistogramQuadraticDistanceFunction(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction
-
Constructor.
- HSBHistogramQuadraticDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
-
Parameterization class.
- HSMDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Compute the "interestingness" of dimension connections using the hough
transformation.
- HSMDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure
-
- HSMDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence
-
Parameterization class.
- hull - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D
-
Internal representation of the hull
- HyperBoundingBox - Class in de.lmu.ifi.dbs.elki.data
-
HyperBoundingBox represents a hyperrectangle in the multidimensional space.
- HyperBoundingBox() - Constructor for class de.lmu.ifi.dbs.elki.data.HyperBoundingBox
-
Empty constructor for Externalizable interface.
- HyperBoundingBox(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.HyperBoundingBox
-
Creates a HyperBoundingBox for the given hyper points.
- HyperBoundingBox(SpatialComparable) - Constructor for class de.lmu.ifi.dbs.elki.data.HyperBoundingBox
-
Constructor, cloning an existing spatial object.
