Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction

Packages that use HiSCDistanceFunction

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.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as HiSCDistanceFunction

(package private) HiSCDistanceFunction<V>

HiSC.Parameterizer.distanceFunction

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type HiSCDistanceFunction

HiSC(HiSCDistanceFunction<V> distanceFunction)
Constructor.

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

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

protected HiSCDistanceFunction<V>

HiSCDistanceFunction.Parameterizer.makeInstance()

Constructors in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with parameters of type HiSCDistanceFunction

HiSCDistanceFunction.Instance(Relation<V> database, HiSCPreferenceVectorIndex<V> index, double epsilon, HiSCDistanceFunction<? super V> distanceFunction)
Constructor.