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

Packages that use ClustersPlusNoise

de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ClustersPlusNoise

private ClustersPlusNoise<V>	ProjectedDBSCAN.result Provides the result of the algorithm.
protected ClustersPlusNoise<O>	DBSCAN.result Provides the result of the algorithm.
protected ClustersPlusNoise<O>	SNNClustering.result Provides the result of the algorithm.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClustersPlusNoise

ClustersPlusNoise<V>	ProjectedDBSCAN.getResult()
ClustersPlusNoise<O>	DBSCAN.getResult()
ClustersPlusNoise<O>	SNNClustering.getResult()

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

Subclasses of ClustersPlusNoise in de.lmu.ifi.dbs.elki.algorithm.result.clustering

class

ClustersPlusNoisePlusCorrelationAnalysis<V extends RealVector<V,?>> Provides a result of a clustering-algorithm that computes several clusters and remaining noise and a correlation analysis for each cluster.