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Packages that use PreferenceVectorBasedCorrelationDistance | |
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de.lmu.ifi.dbs.elki.algorithm.clustering.subspace | Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces. |
de.lmu.ifi.dbs.elki.distance | Distances and (in subpackages) distance functions and similarity functions . |
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | Distance functions based on subspaces. |
Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type PreferenceVectorBasedCorrelationDistance | |
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private OPTICS<V,PreferenceVectorBasedCorrelationDistance> |
DiSH.optics
The optics algorithm to determine the cluster order. |
Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type PreferenceVectorBasedCorrelationDistance | |
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protected ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> |
HiSC.runInTime(Database<V> database)
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Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type PreferenceVectorBasedCorrelationDistance | |
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private Clustering<SubspaceModel<V>> |
DiSH.computeClusters(Database<V> database,
ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
Computes the hierarchical clusters according to the cluster order. |
private Map<BitSet,List<Pair<BitSet,DatabaseObjectGroupCollection<List<Integer>>>>> |
DiSH.extractClusters(Database<V> database,
DiSHDistanceFunction<V,DiSHPreprocessor<V>> distanceFunction,
ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
Extracts the clusters from the cluster order. |
Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.distance |
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Methods in de.lmu.ifi.dbs.elki.distance that return PreferenceVectorBasedCorrelationDistance | |
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.infiniteDistance()
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.nullDistance()
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.parseString(String pattern)
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.undefinedDistance()
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Methods in de.lmu.ifi.dbs.elki.distance with parameters of type PreferenceVectorBasedCorrelationDistance | |
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int |
PreferenceVectorBasedCorrelationDistance.compareTo(PreferenceVectorBasedCorrelationDistance distance)
Checks if the dimensionality values of this distance and the specified distance are equal. |
PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
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PreferenceVectorBasedCorrelationDistance |
PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)
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Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
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Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that return PreferenceVectorBasedCorrelationDistance | |
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protected PreferenceVectorBasedCorrelationDistance |
AbstractPreferenceVectorBasedCorrelationDistanceFunction.correlationDistance(V v1,
V v2)
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abstract PreferenceVectorBasedCorrelationDistance |
AbstractPreferenceVectorBasedCorrelationDistanceFunction.correlationDistance(V v1,
V v2,
BitSet pv1,
BitSet pv2)
Computes the correlation distance between the two specified vectors according to the specified preference vectors. |
PreferenceVectorBasedCorrelationDistance |
HiSCDistanceFunction.correlationDistance(V v1,
V v2,
BitSet pv1,
BitSet pv2)
Computes the correlation distance between the two specified vectors according to the specified preference vectors. |
PreferenceVectorBasedCorrelationDistance |
DiSHDistanceFunction.correlationDistance(V v1,
V v2,
BitSet pv1,
BitSet pv2)
Computes the correlation distance between the two specified vectors according to the specified preference vectors. |
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