Package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.

See:
Description

Class Summary

CASH	Subspace clustering algorithm based on the hough transform.
COPAA<V extends RealVector<V,?>>	Algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary algorithm over the partitions.
COPAC<V extends RealVector<V,?>>	Algorithm to partition a database according to the correlation dimension of its objects and to then perform an arbitrary clustering algorithm over the partitions.
ERiC<V extends RealVector<V,?>>	Performs correlation clustering on the data partitioned according to local correlation dimensionality and builds a hierarchy of correlation clusters that allows multiple inheritance from the clustering result.
FourC<O extends RealVector<O,?>>	4C identifies local subgroups of data objects sharing a uniform correlation.
ORCLUS<V extends RealVector<V,?>>	ORCLUS provides the ORCLUS algorithm.

Package de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Description

Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.