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

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

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

Correlation clustering algorithms

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

CASH
Provides the CASH algorithm, an subspace clustering algorithm based on the hough transform.

COPAC
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
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
4C identifies local subgroups of data objects sharing a uniform correlation.

HiCO
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies of correlation clusters.

ORCLUS
ORCLUS provides the ORCLUS algorithm, an algorithm to find clusters in high dimensional spaces.

ORCLUS.ORCLUSCluster
Encapsulates the attributes of a cluster.

ORCLUS.ProjectedEnergy
Encapsulates the projected energy for a cluster.