Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster |
Similarity measures for comparing clusters.
|
Modifier and Type | Field and Description |
---|---|
protected ClusteringDistanceSimilarityFunction |
RepresentativeUncertainClustering.distance
Distance function for clusterings.
|
protected ClusteringDistanceSimilarityFunction |
RepresentativeUncertainClustering.Parameterizer.distance
Distance (dissimilarity) for clusterinogs.
|
Constructor and Description |
---|
RepresentativeUncertainClustering(ClusteringDistanceSimilarityFunction distance,
ClusteringAlgorithm<?> metaAlgorithm,
ClusteringAlgorithm<?> samplesAlgorithm,
int numsamples,
RandomFactory random,
double alpha,
boolean keep)
Constructor, quite trivial.
|
Modifier and Type | Class and Description |
---|---|
class |
ClusteringAdjustedRandIndexSimilarityFunction
Measure the similarity of clusters via the Adjusted Rand Index.
|
class |
ClusteringBCubedF1SimilarityFunction
Measure the similarity of clusters via the BCubed F1 Index.
|
class |
ClusteringFowlkesMallowsSimilarityFunction
Measure the similarity of clusters via the Fowlkes-Mallows Index.
|
class |
ClusteringRandIndexSimilarityFunction
Measure the similarity of clusters via the Rand Index.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.