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

Packages that use PreferenceVectorBasedCorrelationDistance

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.correlation	Distance functions using correlations.
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

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, 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

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 distance) Checks if the dimensionality values of this distance and the specified distance are equal.
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)

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

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

protected PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.correlationDistance(V v1, V v2)
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	AbstractPreferenceVectorBasedCorrelationDistanceFunction.infiniteDistance()
PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.nullDistance()
PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.undefinedDistance()
PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.valueOf(String pattern)

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

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

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.