Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
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de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster |
Similarity measures for comparing clusters.
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Modifier and Type | Field and Description |
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protected ClusteringDistanceSimilarityFunction |
RepresentativeUncertainClustering.distance
Distance function for clusterings.
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protected ClusteringDistanceSimilarityFunction |
RepresentativeUncertainClustering.Parameterizer.distance
Distance (dissimilarity) for clusterinogs.
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Constructor and Description |
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RepresentativeUncertainClustering(ClusteringDistanceSimilarityFunction distance,
ClusteringAlgorithm<?> metaAlgorithm,
ClusteringAlgorithm<?> samplesAlgorithm,
int numsamples,
RandomFactory random,
double alpha,
boolean keep)
Constructor, quite trivial.
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Modifier and Type | Class and Description |
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class |
ClusteringAdjustedRandIndexSimilarityFunction
Measure the similarity of clusters via the Adjusted Rand Index.
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class |
ClusteringBCubedF1SimilarityFunction
Measure the similarity of clusters via the BCubed F1 Index.
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class |
ClusteringFowlkesMallowsSimilarityFunction
Measure the similarity of clusters via the Fowlkes-Mallows Index.
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class |
ClusteringRandIndexSimilarityFunction
Measure the similarity of clusters via the Rand Index.
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Copyright © 2019 ELKI Development Team. License information.