de.lmu.ifi.dbs.elki.distance.similarityfunction

Interface NormalizedSimilarityFunction<O>

Type Parameters:

O - object type

All Superinterfaces:

SimilarityFunction<O>

All Known Subinterfaces:

NormalizedPrimitiveSimilarityFunction<O>

All Known Implementing Classes:

ClusteringAdjustedRandIndexSimilarityFunction, ClusteringBCubedF1SimilarityFunction, ClusteringFowlkesMallowsSimilarityFunction, FractionalSharedNearestNeighborSimilarityFunction, HellingerDistanceFunction, JaccardSimilarityDistanceFunction

public interface NormalizedSimilarityFunction<O>
extends SimilarityFunction<O>

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

Since:

0.2

Author:

Erich Schubert

Method Summary

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

getInputTypeRestriction, instantiate, isSymmetric