Uses of Interface
elki.similarity.cluster.ClusteringDistanceSimilarity

Packages that use ClusteringDistanceSimilarity

Package	Description
elki.clustering.uncertain	Clustering algorithms for uncertain data.
elki.similarity.cluster	Similarity measures for comparing clusters.

Uses of ClusteringDistanceSimilarity in elki.clustering.uncertain

Fields in elki.clustering.uncertain declared as ClusteringDistanceSimilarity

Modifier and Type	Field	Description
protected ClusteringDistanceSimilarity	RepresentativeUncertainClustering.distance	Distance function for clusterings.
protected ClusteringDistanceSimilarity	RepresentativeUncertainClustering.Par.distance	Distance (dissimilarity) for clusterinogs.

Constructors in elki.clustering.uncertain with parameters of type ClusteringDistanceSimilarity

Constructor	Description
RepresentativeUncertainClustering(ClusteringDistanceSimilarity distance, ClusteringAlgorithm<?> metaAlgorithm, ClusteringAlgorithm<?> samplesAlgorithm, int numsamples, RandomFactory random, double alpha, boolean keep)	Constructor, quite trivial.

Uses of ClusteringDistanceSimilarity in elki.similarity.cluster

Classes in elki.similarity.cluster that implement ClusteringDistanceSimilarity

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.
class	ClusteringRandIndexSimilarity	Measure the similarity of clusters via the Rand Index.