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

Packages that use DiSHDistanceFunction

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 DiSHDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

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

private DiSHDistanceFunction	DiSH.dishDistance The distance function we use
protected DiSHDistanceFunction	DiSH.Parameterizer.dishDistance

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type DiSHDistanceFunction

void	DiSH.Parameterizer.configOPTICS(Parameterization config, int minpts, DiSHDistanceFunction dishDistance) Get the parameters for embedded OPTICS.

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

DiSH(double epsilon, DiSHDistanceFunction dishDistance, Collection<Pair<OptionID,Object>> opticsAlgorithmParameters)
Constructor.

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

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

protected DiSHDistanceFunction

DiSHDistanceFunction.Parameterizer.makeInstance()

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

DiSHDistanceFunction.Instance(Relation<V> database, DiSHPreferenceVectorIndex<V> index, double epsilon, DiSHDistanceFunction distanceFunction)
Constructor.