Package de.lmu.ifi.dbs.elki.algorithm.result.clustering

Package to collect result classes for the results of clustering algorithms.

See:
Description

Interface Summary

ClusteringResult<O extends DatabaseObject>

A Result that provides a set of disjunct clusters and a mapping from classlabels (supposedly assigned by the algorithm) to databases.

Class Summary

CASHResult	TODO: comment
CLIQUEModel<V extends RealVector<V,?>>	Represents a cluster model for a cluster in the CLIQUE algorithm.
Cluster<O extends DatabaseObject>	todo arthur comment
ClusterOrder<O extends DatabaseObject,D extends Distance<D>>	A class representing the cluster order of the OPTICS algorithm.
ClusterOrderEntry<D extends Distance<D>>	Provides an entry in a cluster order.
Clusters<O extends DatabaseObject>	Provides a result of a clustering-algorithm that computes several clusters.
ClustersPlusNoise<O extends DatabaseObject>	Provides a result of a clustering-algorithm that computes several clusters and remaining noise.
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.
EMClusters<V extends RealVector<V,?>>	// todo arthur comment
EMModel<V extends RealVector<V,?>>	// todo arthur comment
HierarchicalAxesParallelCorrelationCluster	Provides a hierarchical axes parallel correlation cluster that holds the preference vector of this cluster, the ids of the objects belonging to this cluster and the children and parents of this cluster.
HierarchicalAxesParallelCorrelationClusters<V extends RealVector<V,?>,D extends Distance<D>>	Provides a result of a clustering algorithm that computes hierarchical axes parallel correlation clusters from a cluster order.
HierarchicalCASHCluster	Provides a hierarchical correlation in an arbitrary subspace which is determined by the CASH algorithm that holds the interval of angles, the ids of the objects belonging to this cluster and the children and parents of this cluster.
HierarchicalCASHClusters	Provides a result of the CASH clustering algorithm that computes hierarchical correlation clusters in arbitrary subspaces.
HierarchicalCluster<C extends HierarchicalCluster<C>>	Abstract super class for a hierarchical cluster that holds the ids of the objects belonging to this cluster and the children and parents of this cluster.
HierarchicalClusters<C extends HierarchicalCluster<C>,O extends DatabaseObject>	Provides a result of a clustering algorithm that computes hierarchical clusters.
HierarchicalCorrelationCluster<V extends RealVector<V,?>>	Provides a hierarchical correlation cluster in an arbitrary subspace that holds the PCA, the ids of the objects belonging to this cluster and the children and parents of this cluster.
HierarchicalCorrelationClusters<V extends RealVector<V,?>>	Provides a result of a clustering algorithm that computes hierarchical correlation clusters in arbitrary subspaces.
PartitionClusteringResults<O extends DatabaseObject>	A result for a partitioning clustering algorithm providing a single result for a single partition.
SubspaceClusterMap	Encapsulates a mapping of subspace dimensionalities to a list of set of ids forming a cluster in a specific subspace dimension.
SubspaceClusterModel<V extends RealVector<V,?>>	todo arthur comment

Package de.lmu.ifi.dbs.elki.algorithm.result.clustering Description

Package to collect result classes for the results of clustering algorithms.

WARNING: This package and the contained classes are subject to considerable changes in the near future.