Uses of Interface
elki.similarity.NormalizedSimilarity
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Packages that use NormalizedSimilarity Package Description elki.distance.adapter Distance functions deriving distances from, e.g., similarity measures.elki.distance.probabilistic Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.elki.distance.set Distance functions for binary and set type data.elki.similarity Similarity functions.elki.similarity.cluster Similarity measures for comparing clusters. -
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Uses of NormalizedSimilarity in elki.distance.adapter
Fields in elki.distance.adapter with type parameters of type NormalizedSimilarity Modifier and Type Field Description protected java.lang.Class<NormalizedSimilarity<? super O>>
AbstractSimilarityAdapter.Par. NORMALIZED_SIMILARITY
Normalized similarity functionsMethods in elki.distance.adapter that return types with arguments of type NormalizedSimilarity Modifier and Type Method Description protected java.lang.Class<? extends NormalizedSimilarity<? super O>>
ArccosSimilarityAdapter.Par. getSimilarityRestriction()
protected java.lang.Class<? extends NormalizedSimilarity<? super O>>
LinearSimilarityAdapter.Par. getSimilarityRestriction()
protected java.lang.Class<? extends NormalizedSimilarity<? super O>>
LnSimilarityAdapter.Par. getSimilarityRestriction()
Constructors in elki.distance.adapter with parameters of type NormalizedSimilarity Constructor Description ArccosSimilarityAdapter(NormalizedSimilarity<? super O> similarityFunction)
Constructor.LinearSimilarityAdapter(NormalizedSimilarity<? super O> similarityFunction)
Constructor.LnSimilarityAdapter(NormalizedSimilarity<? super O> similarityFunction)
Constructor. -
Uses of NormalizedSimilarity in elki.distance.probabilistic
Classes in elki.distance.probabilistic that implement NormalizedSimilarity Modifier and Type Class Description class
HellingerDistance
Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution. -
Uses of NormalizedSimilarity in elki.distance.set
Classes in elki.distance.set that implement NormalizedSimilarity Modifier and Type Class Description class
JaccardSimilarityDistance
A flexible extension of Jaccard similarity to non-binary vectors. -
Uses of NormalizedSimilarity in elki.similarity
Subinterfaces of NormalizedSimilarity in elki.similarity Modifier and Type Interface Description interface
NormalizedPrimitiveSimilarity<O>
Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.Classes in elki.similarity that implement NormalizedSimilarity Modifier and Type Class Description class
FractionalSharedNearestNeighborSimilarity<O>
SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer. -
Uses of NormalizedSimilarity in elki.similarity.cluster
Classes in elki.similarity.cluster that implement NormalizedSimilarity Modifier and Type Class Description class
ClusteringAdjustedRandIndexSimilarity
Measure the similarity of clusters via the Adjusted Rand Index.class
ClusteringBCubedF1Similarity
Measure the similarity of clusters via the BCubed F1 Index.class
ClusteringFowlkesMallowsSimilarity
Measure the similarity of clusters via the Fowlkes-Mallows Index.
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