Uses of Class
de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

Packages that use PreferenceVectorBasedCorrelationDistance

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.distance	Package collects distances and - in its subpackages - distance and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.

Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type PreferenceVectorBasedCorrelationDistance

private OPTICS<V,PreferenceVectorBasedCorrelationDistance>

DiSH.optics The optics algorithm to determine the cluster order.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type PreferenceVectorBasedCorrelationDistance

private void	DiSH.computeClusters(Database<V> database, ClusterOrder<V,PreferenceVectorBasedCorrelationDistance> clusterOrder) Computes the hierarchical clusters according to the cluster order.
private Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>>	DiSH.extractClusters(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, ClusterOrder<V,PreferenceVectorBasedCorrelationDistance> clusterOrder) Extracts the clusters from the cluster order.

Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.distance

Methods in de.lmu.ifi.dbs.elki.distance that return PreferenceVectorBasedCorrelationDistance

PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)

Methods in de.lmu.ifi.dbs.elki.distance with parameters of type PreferenceVectorBasedCorrelationDistance

int	PreferenceVectorBasedCorrelationDistance.compareTo(PreferenceVectorBasedCorrelationDistance o)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)

Uses of PreferenceVectorBasedCorrelationDistance in de.lmu.ifi.dbs.elki.distance.distancefunction

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return PreferenceVectorBasedCorrelationDistance

protected PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.correlationDistance(O v1, O v2)
abstract PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.correlationDistance(O v1, O v2, BitSet pv1, BitSet pv2) Computes the correlation distance between the two specified vectors according to the specified preference vectors.
PreferenceVectorBasedCorrelationDistance	HiSCDistanceFunction.correlationDistance(O v1, O 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.
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.infiniteDistance() Provides an infinite distance.
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.nullDistance() Provides a null distance.
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.undefinedDistance() Provides an undefined distance.
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistanceFunction.valueOf(String pattern) Provides a distance suitable to this DistanceFunction based on the given pattern.