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.
-