Uses of Class
de.lmu.ifi.dbs.elki.data.model.SubspaceModel

Packages that use SubspaceModel

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.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type SubspaceModel

private Clustering<SubspaceModel<V>>

SUBCLU.result Holds the result;

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type SubspaceModel

private Clustering<SubspaceModel<V>>	DiSH.computeClusters(Database<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder) Computes the hierarchical clusters according to the cluster order.
Clustering<SubspaceModel<V>>	SUBCLU.getResult() Returns the result of the algorithm.
protected Clustering<SubspaceModel<V>>	DiSH.runInTime(Database<V> database) Performs the DiSH algorithm on the given database.
protected Clustering<SubspaceModel<V>>	CLIQUE.runInTime(Database<V> database) Performs the CLIQUE algorithm on the given database.
protected Clustering<SubspaceModel<V>>	SUBCLU.runInTime(Database<V> database) Performs the SUBCLU algorithm on the given database.
private List<Cluster<SubspaceModel<V>>>	DiSH.sortClusters(Map<BitSet,List<Pair<BitSet,DatabaseObjectGroupCollection<List<Integer>>>>> clustersMap, int dimensionality) Returns a sorted list of the clusters w.r.t. the subspace dimensionality in descending order.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type SubspaceModel

private void	DiSH.buildHierarchy(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V>> distanceFunction, List<Cluster<SubspaceModel<V>>> clusters, int dimensionality) Builds the cluster hierarchy
private boolean	DiSH.isParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V>> distanceFunction, Cluster<SubspaceModel<V>> parent, List<Cluster<SubspaceModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.
private boolean	DiSH.isParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V>> distanceFunction, Cluster<SubspaceModel<V>> parent, List<Cluster<SubspaceModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.

Uses of SubspaceModel in de.lmu.ifi.dbs.elki.data.model

Subclasses of SubspaceModel in de.lmu.ifi.dbs.elki.data.model

class

SubspaceAndMeanModel<V extends FeatureVector<V,?>> Model for Subspace Clusters that additionally stores a mean vector.