Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

Packages that use Cluster
de.lmu.ifi.dbs.elki.algorithm.result.clustering Package to collect result classes for the results of clustering algorithms. 
de.lmu.ifi.dbs.elki.distance.similarityfunction Package collects similarity functions. 
 

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering that return Cluster
 Cluster[] PartitionClusteringResults.getClusters()
           
 Cluster<O>[] Clusters.getClusters()
           
 Cluster<O>[] ClustersPlusNoise.getClusters()
           
 Cluster<O>[] ClusteringResult.getClusters()
          Returns the clusters as array of arrays of object ids.
 

Uses of Cluster in de.lmu.ifi.dbs.elki.distance.similarityfunction
 

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction with parameters of type Cluster
 IntegerDistance ClusterSimilarity.similarity(Cluster<?> o1, Cluster<?> o2)
           
 IntegerDistance ClusterSimilarity.similarity(Cluster<?> o1, Cluster<?> o2)
           
 IntegerDistance ClusterSimilarity.similarity(Integer id1, Cluster<?> cluster2)
           
 


Release 0.1 (2008-07-10_1838)