Uses of Interface
de.lmu.ifi.dbs.elki.distance.similarityfunction.NormalizedPrimitiveSimilarityFunction

Packages that use NormalizedPrimitiveSimilarityFunction

Package	Description
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.

Uses of NormalizedPrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic that implement NormalizedPrimitiveSimilarityFunction

Modifier and Type	Class and Description
class	HellingerDistanceFunction Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.

Uses of NormalizedPrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.set that implement NormalizedPrimitiveSimilarityFunction

Modifier and Type	Class and Description
class	JaccardSimilarityDistanceFunction A flexible extension of Jaccard similarity to non-binary vectors.