Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Packages that use ClusterOrderResult
de.lmu.ifi.dbs.elki.algorithm.clustering Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface. 
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 ClusterOrderResult in de.lmu.ifi.dbs.elki.algorithm.clustering
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ClusterOrderResult
private  ClusterOrderResult<D> DeLiClu.clusterOrder
          Provides the result of the algorithm.
private  ClusterOrderResult<D> OPTICS.clusterOrder
          Provides the result of the algorithm.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClusterOrderResult
 ClusterOrderResult<D> DeLiClu.getResult()
           
 ClusterOrderResult<D> OPTICS.getResult()
           
protected  ClusterOrderResult<D> DeLiClu.runInTime(Database<O> database)
          Performs the DeLiClu algorithm on the given database.
protected  ClusterOrderResult<D> OPTICS.runInTime(Database<O> database)
          Performs the OPTICS algorithm on the given database.
 

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type ClusterOrderResult
private  void DiSH.computeClusters(Database<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
          Computes the hierarchical clusters according to the cluster order.
private  Map<BitSet,List<Pair<BitSet,DatabaseObjectGroupCollection<List<Integer>>>>> DiSH.extractClusters(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
          Extracts the clusters from the cluster order.
 


Release 0.2 (2009-07-06_1820)