Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.algorithm.result.clustering.Clusters

Packages that use Clusters
de.lmu.ifi.dbs.elki.algorithm.clustering Package collects clustering algorithms. 
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine. 
de.lmu.ifi.dbs.elki.algorithm.result.clustering Package to collect result classes for the results of clustering algorithms. 
 

Uses of Clusters in de.lmu.ifi.dbs.elki.algorithm.clustering
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as Clusters
private  Clusters<V> KMeans.result
          Keeps the result.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return Clusters
 Clusters<V> KMeans.getResult()
           
 Clusters<V> EM.getResult()
           
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as Clusters
private  Clusters<V> CLIQUE.result
          The result of the algorithm;
private  Clusters<V> ProjectedClustering.result
          The result.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return Clusters
 Clusters<V> ProjectedClustering.getResult()
           
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type Clusters
protected  void ProjectedClustering.setResult(Clusters<V> result)
          Sets the result of this algorithm.
 

Uses of Clusters in de.lmu.ifi.dbs.elki.algorithm.result.clustering
 

Subclasses of Clusters in de.lmu.ifi.dbs.elki.algorithm.result.clustering
 class EMClusters<V extends RealVector<V,?>>
          // todo arthur comment
 


Release 0.1 (2008-07-10_1838)