Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

Correlation clustering algorithms

See:
          Description

Class Summary
CASH Provides the CASH algorithm, an subspace clustering algorithm based on the hough transform.
COPAC<V extends NumberVector<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 NumberVector<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 NumberVector<O,?>> 4C identifies local subgroups of data objects sharing a uniform correlation.
HiCO<V extends NumberVector<V,?>> Implementation of the HiCO algorithm, an algorithm for detecting hierarchies of correlation clusters.
ORCLUS<V extends NumberVector<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 0.3 (2010-03-31_1612)