Uses of Package
de.lmu.ifi.dbs.elki.distance.similarityfunction

Packages that use de.lmu.ifi.dbs.elki.distance.similarityfunction

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.algorithm.clustering

SharedNearestNeighborSimilarityFunction

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.algorithm.outlier

SharedNearestNeighborSimilarityFunction

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

NormalizedSimilarityFunction
Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction

AbstractPreprocessorBasedSimilarityFunction
Abstract super class for distance functions needing a preprocessor.

AbstractSimilarityFunction

NormalizedSimilarityFunction
Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].

SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function.