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

Packages that use CorrelationDistance

de.lmu.ifi.dbs.elki.distance	Distances and (in subpackages) distance functions and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.visualization.opticsplot	Code for drawing OPTICS plots

Uses of CorrelationDistance in de.lmu.ifi.dbs.elki.distance

Classes in de.lmu.ifi.dbs.elki.distance with type parameters of type CorrelationDistance

class

CorrelationDistance<D extends CorrelationDistance<D>> The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.

Subclasses of CorrelationDistance in de.lmu.ifi.dbs.elki.distance

class

PreferenceVectorBasedCorrelationDistance A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.

Uses of CorrelationDistance in de.lmu.ifi.dbs.elki.distance.distancefunction

Subclasses of CorrelationDistance in de.lmu.ifi.dbs.elki.distance.distancefunction

class

PCACorrelationDistance The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with type parameters of type CorrelationDistance

class

AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>> Abstract super class for correlation based distance functions.

Uses of CorrelationDistance in de.lmu.ifi.dbs.elki.visualization.opticsplot

Method parameters in de.lmu.ifi.dbs.elki.visualization.opticsplot with type arguments of type CorrelationDistance

double

OPTICSCorrelationDimensionalityDistance.getDoubleForEntry(ClusterOrderEntry<CorrelationDistance<?>> coe)