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

Packages that use SubspaceModel

Package	Description
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.algorithm.outlier.subspace	Subspace outlier detection methods.

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

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

Modifier and Type	Interface and Description
interface	SubspaceClusteringAlgorithm<M extends SubspaceModel<?>> Interface for subspace clustering algorithms that use a model derived from SubspaceModel, that can then be post-processed for outlier detection.

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

Modifier and Type	Field and Description
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

Modifier and Type	Method and Description
private Clustering<SubspaceModel<V>>	DiSH.computeClusters(Relation<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder, DiSHDistanceFunction.Instance<V> distFunc) Computes the hierarchical clusters according to the cluster order.
Clustering<SubspaceModel<V>>	SUBCLU.getResult() Returns the result of the algorithm.
Clustering<SubspaceModel<V>>	DiSH.run(Database database, Relation<V> relation) Performs the DiSH algorithm on the given database.
Clustering<SubspaceModel<V>>	PROCLUS.run(Database database, Relation<V> relation) Performs the PROCLUS algorithm on the given database.
Clustering<SubspaceModel<V>>	SUBCLU.run(Relation<V> relation) Performs the SUBCLU algorithm on the given database.
Clustering<SubspaceModel<V>>	CLIQUE.run(Relation<V> relation) Performs the CLIQUE algorithm on the given database.
private List<Cluster<SubspaceModel<V>>>	DiSH.sortClusters(Relation<V> database, Map<BitSet,List<Pair<BitSet,ArrayModifiableDBIDs>>> clustersMap) 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

Modifier and Type	Method and Description
private void	DiSH.buildHierarchy(Relation<V> database, DiSHDistanceFunction.Instance<V> distFunc, List<Cluster<SubspaceModel<V>>> clusters, int dimensionality) Builds the cluster hierarchy.
private boolean	DiSH.isParent(Relation<V> database, DiSHDistanceFunction.Instance<V> distFunc, 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(Relation<V> database, DiSHDistanceFunction.Instance<V> distFunc, 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.algorithm.outlier.subspace

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

Modifier and Type	Field and Description
protected SubspaceClusteringAlgorithm<? extends SubspaceModel<?>>	OutRankS1.Parameterizer.algorithm Clustering algorithm to run.
protected SubspaceClusteringAlgorithm<? extends SubspaceModel<?>>	OutRankS1.clusteralg Clustering algorithm to run.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with type arguments of type SubspaceModel

Constructor and Description
OutRankS1(SubspaceClusteringAlgorithm<? extends SubspaceModel<?>> clusteralg, double alpha) Constructor.