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

Packages that use NormalizedSimilarityFunction

Package	Description
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from, e.g., similarity measures
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.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster	Similarity measures for comparing clusters.

Uses of NormalizedSimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with type parameters of type NormalizedSimilarityFunction

Modifier and Type	Field and Description
protected java.lang.Class<NormalizedSimilarityFunction<? super O>>	AbstractSimilarityAdapter.Parameterizer.NORMALIZED_SIMILARITY Normalized similarity functions

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter that return types with arguments of type NormalizedSimilarityFunction

Modifier and Type	Method and Description
protected java.lang.Class<? extends NormalizedSimilarityFunction<? super O>>	LnSimilarityAdapter.Parameterizer.getSimilarityRestriction()
protected java.lang.Class<? extends NormalizedSimilarityFunction<? super O>>	ArccosSimilarityAdapter.Parameterizer.getSimilarityRestriction()
protected java.lang.Class<? extends NormalizedSimilarityFunction<? super O>>	LinearAdapterLinear.Parameterizer.getSimilarityRestriction()

Constructors in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with parameters of type NormalizedSimilarityFunction

Constructor and Description
ArccosSimilarityAdapter(NormalizedSimilarityFunction<? super O> similarityFunction) Constructor.
LinearAdapterLinear(NormalizedSimilarityFunction<? super O> similarityFunction) Constructor.
LnSimilarityAdapter(NormalizedSimilarityFunction<? super O> similarityFunction) Constructor.

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

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

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 NormalizedSimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

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

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

Uses of NormalizedSimilarityFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction

Subinterfaces of NormalizedSimilarityFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction

Modifier and Type	Interface and Description
interface	NormalizedPrimitiveSimilarityFunction<O> Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction that implement NormalizedSimilarityFunction

Modifier and Type	Class and Description
class	FractionalSharedNearestNeighborSimilarityFunction<O> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.

Uses of NormalizedSimilarityFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster that implement NormalizedSimilarityFunction

Modifier and Type	Class and Description
class	ClusteringAdjustedRandIndexSimilarityFunction Measure the similarity of clusters via the Adjusted Rand Index.
class	ClusteringBCubedF1SimilarityFunction Measure the similarity of clusters via the BCubed F1 Index.
class	ClusteringFowlkesMallowsSimilarityFunction Measure the similarity of clusters via the Fowlkes-Mallows Index.