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Packages that use Cluster | |
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de.lmu.ifi.dbs.elki.algorithm.result.clustering | Package to collect result classes for the results of clustering algorithms. |
de.lmu.ifi.dbs.elki.distance.similarityfunction | Package collects similarity functions. |
Uses of Cluster in de.lmu.ifi.dbs.elki.algorithm.result.clustering |
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Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering that return Cluster | |
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Cluster[] |
PartitionClusteringResults.getClusters()
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Cluster<O>[] |
Clusters.getClusters()
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Cluster<O>[] |
ClustersPlusNoise.getClusters()
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Cluster<O>[] |
ClusteringResult.getClusters()
Returns the clusters as array of arrays of object ids. |
Uses of Cluster in de.lmu.ifi.dbs.elki.distance.similarityfunction |
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Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction with parameters of type Cluster | |
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IntegerDistance |
ClusterSimilarity.similarity(Cluster<?> o1,
Cluster<?> o2)
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IntegerDistance |
ClusterSimilarity.similarity(Cluster<?> o1,
Cluster<?> o2)
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IntegerDistance |
ClusterSimilarity.similarity(Integer id1,
Cluster<?> cluster2)
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