Environment for
Supported by Index-Structures

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

Correlation clustering algorithms


Class Summary
CASH Provides the CASH algorithm, an subspace clustering algorithm based on the hough transform.
COPAC<V extends RealVector<V,?>> Provides the COPAC algorithm, an 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, an algorithm to find clusters in high dimensional spaces.

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

Correlation clustering algorithms

Release 0.2 (2009-07-06_1820)