Uses of Class
de.lmu.ifi.dbs.elki.data.Subspace

Packages that use Subspace

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.clustering.subspace.clique	Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.

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

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

Modifier and Type	Method and Description
private Subspace<V>	SUBCLU.bestSubspace(List<Subspace<V>> subspaces, Subspace<V> candidate, TreeMap<Subspace<V>,List<Cluster<Model>>> clusterMap) Determines the d-dimensional subspace of the (d+1) -dimensional candidate with minimal number of objects in the cluster.

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

Modifier and Type	Method and Description
private List<Pair<Subspace<V>,ModifiableDBIDs>>	CLIQUE.determineClusters(List<CLIQUESubspace<V>> denseSubspaces) Determines the clusters in the specified dense subspaces.
private List<Subspace<V>>	SUBCLU.generateSubspaceCandidates(List<Subspace<V>> subspaces) Generates d+1-dimensional subspace candidates from the specified d-dimensional subspaces.
private List<Subspace<V>>	SUBCLU.lowerSubspaces(Subspace<V> subspace) Returns the list of all (d-1)-dimensional subspaces of the specified d-dimensional subspace.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type Subspace

Modifier and Type	Method and Description
private Subspace<V>	SUBCLU.bestSubspace(List<Subspace<V>> subspaces, Subspace<V> candidate, TreeMap<Subspace<V>,List<Cluster<Model>>> clusterMap) Determines the d-dimensional subspace of the (d+1) -dimensional candidate with minimal number of objects in the cluster.
private List<Subspace<V>>	SUBCLU.lowerSubspaces(Subspace<V> subspace) Returns the list of all (d-1)-dimensional subspaces of the specified d-dimensional subspace.
private List<Cluster<Model>>	SUBCLU.runDBSCAN(Relation<V> relation, DBIDs ids, Subspace<V> subspace) Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.

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

Modifier and Type	Method and Description
private Subspace<V>	SUBCLU.bestSubspace(List<Subspace<V>> subspaces, Subspace<V> candidate, TreeMap<Subspace<V>,List<Cluster<Model>>> clusterMap) Determines the d-dimensional subspace of the (d+1) -dimensional candidate with minimal number of objects in the cluster.
private Subspace<V>	SUBCLU.bestSubspace(List<Subspace<V>> subspaces, Subspace<V> candidate, TreeMap<Subspace<V>,List<Cluster<Model>>> clusterMap) Determines the d-dimensional subspace of the (d+1) -dimensional candidate with minimal number of objects in the cluster.
private List<Subspace<V>>	SUBCLU.generateSubspaceCandidates(List<Subspace<V>> subspaces) Generates d+1-dimensional subspace candidates from the specified d-dimensional subspaces.

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

Subclasses of Subspace in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

Modifier and Type	Class and Description
class	CLIQUESubspace<V extends NumberVector<V,?>> Represents a subspace of the original data space in the CLIQUE algorithm.

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

Modifier and Type	Method and Description
List<Pair<Subspace<V>,ModifiableDBIDs>>	CLIQUESubspace.determineClusters() Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.

Uses of Subspace in de.lmu.ifi.dbs.elki.data

Methods in de.lmu.ifi.dbs.elki.data that return Subspace

Modifier and Type	Method and Description
Subspace<V>	Subspace.join(Subspace<V> other) Joins this subspace with the specified subspace.

Methods in de.lmu.ifi.dbs.elki.data with parameters of type Subspace

Modifier and Type	Method and Description
int	Subspace.DimensionComparator.compare(Subspace<?> s1, Subspace<?> s2) Compares the two specified subspaces for order.
int	Subspace.DimensionComparator.compare(Subspace<?> s1, Subspace<?> s2) Compares the two specified subspaces for order.
boolean	Subspace.isSubspace(Subspace<V> subspace) Returns true if this subspace is a subspace of the specified subspace, i.e.
Subspace<V>	Subspace.join(Subspace<V> other) Joins this subspace with the specified subspace.
protected BitSet	Subspace.joinLastDimensions(Subspace<V> other) Joins the dimensions of this subspace with the dimensions of the specified subspace.

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

Fields in de.lmu.ifi.dbs.elki.data.model declared as Subspace

Modifier and Type	Field and Description
private Subspace<V>	SubspaceModel.subspace The subspace of the cluster.

Methods in de.lmu.ifi.dbs.elki.data.model that return Subspace

Modifier and Type	Method and Description
Subspace<V>	SubspaceModel.getSubspace() Returns the subspace of this SubspaceModel.

Constructors in de.lmu.ifi.dbs.elki.data.model with parameters of type Subspace

Constructor and Description
SubspaceModel(Subspace<V> subspace, V mean) Creates a new SubspaceModel for the specified subspace with the given cluster mean.