Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering
de.lmu.ifi.dbs.elki.algorithm.clustering Package collects clustering algorithms. 
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine. 
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 Package to collect result classes for the results of algorithms. 
 

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering
Clustering
          Interface for Algorithms that are capable to provide a ClusteringResult.
DeLiClu.SpatialObjectPair
          Encapsulates an entry in the cluster order.
OPTICS.COEntry
          Encapsulates an entry in the cluster order.
SLINK.SLinkDistance
          Encapsulates the distance between two objects and their ids.
 

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
Clustering
          Interface for Algorithms that are capable to provide a ClusteringResult.
ProjectedDBSCAN
          Provides an abstract algorithm requiring a VarianceAnalysisPreprocessor.
 

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
Clustering
          Interface for Algorithms that are capable to provide a ClusteringResult.
OPTICS
          OPTICS provides the OPTICS algorithm.
ProjectedDBSCAN
          Provides an abstract algorithm requiring a VarianceAnalysisPreprocessor.
 

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering used by de.lmu.ifi.dbs.elki.algorithm.result
SLINK.SLinkDistance
          Encapsulates the distance between two objects and their ids.
 


Release 0.1 (2008-07-10_1838)