Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.ProjectedClustering

Packages that use ProjectedClustering
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Correlation clustering algorithms 
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces. 
 

Uses of ProjectedClustering in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
 

Subclasses of ProjectedClustering in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
 class ORCLUS<V extends RealVector<V,?>>
          ORCLUS provides the ORCLUS algorithm, an algorithm to find clusters in high dimensional spaces.
 

Uses of ProjectedClustering in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
 

Subclasses of ProjectedClustering in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
 class PROCLUS<V extends RealVector<V,?>>
          

Provides the PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.

 


Release 0.2.1 (2009-07-13_1605)