Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

Packages that use AbstractPreprocessorBasedDistanceFunction

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 AbstractPreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Subclasses of AbstractPreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

class	AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>> Abstract super class for correlation based distance functions.
class	ERiCDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a distance function for building the hierarchy in the ERiC algorithm.
class	PCABasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides the correlation distance for real valued vectors.

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

Subclasses of AbstractPreprocessorBasedDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

class	AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Abstract super class for all preference vector based correlation distance functions.
class	DiSHDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the DiSH algorithm.
class	HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the HiSC algorithm.
class	SubspaceDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.