Uses of Class
de.lmu.ifi.dbs.elki.distance.distancevalue.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.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancevalue	Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.

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

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

private Clustering<SubspaceModel<V>>	DiSH.computeClusters(Relation<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder, DiSHDistanceFunction.Instance<V> distFunc) Computes the hierarchical clusters according to the cluster order.
private Map<BitSet,List<Pair<BitSet,ArrayModifiableDBIDs>>>	DiSH.extractClusters(Relation<V> database, DiSHDistanceFunction.Instance<V> distFunc, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder) Extracts the clusters from the cluster order.

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	DiSHDistanceFunction.Instance.correlationDistance(V v1, V v2, BitSet pv1, BitSet pv2) Computes the correlation distance between the two specified vectors according to the specified preference vectors.
abstract PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance.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.Instance.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.Instance.distance(DBID id1, DBID id2)
PreferenceVectorBasedCorrelationDistance	AbstractPreferenceVectorBasedCorrelationDistanceFunction.getDistanceFactory()

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

Fields in de.lmu.ifi.dbs.elki.distance.distancevalue declared as PreferenceVectorBasedCorrelationDistance

static PreferenceVectorBasedCorrelationDistance

PreferenceVectorBasedCorrelationDistance.FACTORY The static factory instance

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

PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.infiniteDistance()
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.minus(PreferenceVectorBasedCorrelationDistance distance)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.nullDistance()
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.parseString(String pattern)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.plus(PreferenceVectorBasedCorrelationDistance distance)
PreferenceVectorBasedCorrelationDistance	PreferenceVectorBasedCorrelationDistance.undefinedDistance()

Methods in de.lmu.ifi.dbs.elki.distance.distancevalue 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)