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

Packages that use de.lmu.ifi.dbs.elki.algorithm.result.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.clustering.subspace.clique	Helper classes for the CLIQUE algorithm.
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.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering

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

ClusterOrder
A class representing the cluster order of the OPTICS algorithm.

Clusters
Provides a result of a clustering-algorithm that computes several clusters.

ClustersPlusNoise
Provides a result of a clustering-algorithm that computes several clusters and remaining noise.

EMClusters
// todo arthur comment

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

CASHResult
TODO: comment

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

HierarchicalCorrelationCluster
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
Provides a result of a clustering algorithm that computes hierarchical correlation clusters in arbitrary subspaces.

SubspaceClusterMap
Encapsulates a mapping of subspace dimensionalities to a list of set of ids forming a cluster in a specific subspace dimension.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

CLIQUEModel
Represents a cluster model for a cluster in the CLIQUE algorithm.

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

ClusterOrder
A class representing the cluster order of the OPTICS algorithm.

Clusters
Provides a result of a clustering-algorithm that computes several clusters.

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.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

CLIQUEModel
Represents a cluster model for a cluster in the CLIQUE algorithm.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.algorithm.result.clustering

Cluster
todo arthur comment

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

ClusterOrder
A class representing the cluster order of the OPTICS algorithm.

ClusterOrderEntry
Provides an entry in a cluster order.

Clusters
Provides a result of a clustering-algorithm that computes several clusters.

ClustersPlusNoise
Provides a result of a clustering-algorithm that computes several clusters and remaining noise.

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.

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.

HierarchicalCluster
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
Provides a result of a clustering algorithm that computes hierarchical clusters.

HierarchicalCorrelationCluster
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.

SubspaceClusterMap
Encapsulates a mapping of subspace dimensionalities to a list of set of ids forming a cluster in a specific subspace dimension.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering used by de.lmu.ifi.dbs.elki.distance.similarityfunction

Cluster
todo arthur comment