Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
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Modifier and Type | Method and Description |
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private SortedMap<Integer,List<Cluster<CorrelationModel<V>>>> |
ERiC.extractCorrelationClusters(Clustering<Model> copacResult,
Relation<V> database,
int dimensionality)
Extracts the correlation clusters and noise from the copac result and
returns a mapping of correlation dimension to maps of clusters within this
correlation dimension.
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Clustering<CorrelationModel<V>> |
ERiC.run(Relation<V> relation)
Performs the ERiC algorithm on the given database.
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Modifier and Type | Method and Description |
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private void |
ERiC.buildHierarchy(SortedMap<Integer,List<Cluster<CorrelationModel<V>>>> clusterMap,
DistanceQuery<V,IntegerDistance> query) |
private boolean |
ERiC.isParent(ERiCDistanceFunction distanceFunction,
Cluster<CorrelationModel<V>> parent,
List<Cluster<CorrelationModel<V>>> children)
Returns true, if the specified parent cluster is a parent of one child of
the children clusters.
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private boolean |
ERiC.isParent(ERiCDistanceFunction distanceFunction,
Cluster<CorrelationModel<V>> parent,
List<Cluster<CorrelationModel<V>>> children)
Returns true, if the specified parent cluster is a parent of one child of
the children clusters.
|