Uses of Class
de.lmu.ifi.dbs.elki.data.cluster.Cluster

Packages that use Cluster

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
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	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.cluster	Cluster classes.
de.lmu.ifi.dbs.elki.data.cluster.naming	Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.evaluation.paircounting.generator	Pair generation for pair counting evaluation.
de.lmu.ifi.dbs.elki.evaluation.roc	Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)

Uses of Cluster in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

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

private SortedMap<Integer,List<Cluster<CorrelationModel<V>>>>

ERiC.extractCorrelationClusters(Clustering<Model> copacResult, Database<V> database, int dimensionality) Extracts the correlation clusters and noise from the copac result and returns a mapping of correlation dimension to maps of clusters within this correlation dimension.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type Cluster

private boolean

ERiC.isParent(ERiCDistanceFunction<V,?> distanceFunction, Cluster<CorrelationModel<V>> parent, List<Cluster<CorrelationModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type Cluster

private void	ERiC.buildHierarchy(SortedMap<Integer,List<Cluster<CorrelationModel<V>>>> clusterMap)
private boolean	ERiC.isParent(ERiCDistanceFunction<V,?> distanceFunction, Cluster<CorrelationModel<V>> parent, List<Cluster<CorrelationModel<V>>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.

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

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

private List<Cluster<Model>>	SUBCLU.runDBSCAN(Database<V> database, List<Integer> ids, Subspace<V> subspace) Runs the DBSCAN algorithm on the specified partition of the database in the given subspace.
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.

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

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.

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

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

Fields in de.lmu.ifi.dbs.elki.data with type parameters of type Cluster

private List<Cluster<M>>

Clustering.toplevelclusters Keep a list of top level clusters.

Methods in de.lmu.ifi.dbs.elki.data that return types with arguments of type Cluster

List<Cluster<M>>	Clustering.getAllClusters() Collect all clusters (recursively) into a List.
List<Cluster<M>>	Clustering.getToplevelClusters() Return top level clusters

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

void	Clustering.addCluster(Cluster<M> n) Add a cluster to the clustering.

Constructor parameters in de.lmu.ifi.dbs.elki.data with type arguments of type Cluster

Clustering(List<Cluster<M>> toplevelclusters)
Constructor with a list of top level clusters

Uses of Cluster in de.lmu.ifi.dbs.elki.data.cluster

Fields in de.lmu.ifi.dbs.elki.data.cluster with type parameters of type Cluster

private HierarchyImplementation<Cluster<M>>

Cluster.hierarchy Object that the hierarchy management is delegated to.

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

<T extends Collection<Cluster<M>>> T	Cluster.getAncestors(T collection) Delegate to hierarchy object
<T extends Collection<Cluster<M>>> T	Cluster.getDescendants(T collection) Delegate to hierarchy object

Methods in de.lmu.ifi.dbs.elki.data.cluster that return types with arguments of type Cluster

List<Cluster<M>>	Cluster.getChildren() Delegate to hierarchy object
Set<Cluster<M>>	Cluster.getDescendants() Collect descendants
HierarchyImplementation<Cluster<M>>	Cluster.getHierarchy() Get hierarchy object
List<Cluster<M>>	Cluster.getParents() Delegate to hierarchy object

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

int	Cluster.PartialComparator.compare(Cluster<?> o1, Cluster<?> o2)
int	Cluster.PartialComparator.compare(Cluster<?> o1, Cluster<?> o2)

Method parameters in de.lmu.ifi.dbs.elki.data.cluster with type arguments of type Cluster

void	Cluster.setHierarchy(HierarchyImplementation<Cluster<M>> hierarchy) Set hierarchy object

Constructor parameters in de.lmu.ifi.dbs.elki.data.cluster with type arguments of type Cluster

Cluster(String name, DatabaseObjectGroup group, boolean noise, M model, HierarchyImplementation<Cluster<M>> hierarchy)
Full constructor

Cluster(String name, DatabaseObjectGroup group, boolean noise, M model, List<Cluster<M>> children, List<Cluster<M>> parents)
Constructor with hierarchy information.

Cluster(String name, DatabaseObjectGroup group, boolean noise, M model, List<Cluster<M>> children, List<Cluster<M>> parents)
Constructor with hierarchy information.

Cluster(String name, DatabaseObjectGroup group, M model, HierarchyImplementation<Cluster<M>> hierarchy)
Constructor with hierarchy but noise flag defaulting to false.

Cluster(String name, DatabaseObjectGroup group, M model, List<Cluster<M>> children, List<Cluster<M>> parents)
Constructor with hierarchy information, but no noise flag.

Cluster(String name, DatabaseObjectGroup group, M model, List<Cluster<M>> children, List<Cluster<M>> parents)
Constructor with hierarchy information, but no noise flag.

Uses of Cluster in de.lmu.ifi.dbs.elki.data.cluster.naming

Fields in de.lmu.ifi.dbs.elki.data.cluster.naming with type parameters of type Cluster

private Map<Cluster<?>,String>

SimpleEnumeratingScheme.names Assigned cluster names.

Uses of Cluster in de.lmu.ifi.dbs.elki.database

Methods in de.lmu.ifi.dbs.elki.database that return types with arguments of type Cluster

<O extends DatabaseObject,R extends Clustering<M>,M extends Model> Map<Cluster<M>,Database<O>>

PartitionsFromClustering.makeDatabasesFromClustering(Database<O> olddb, R clustering) Use an existing clustering to partition a database.

Uses of Cluster in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator

Constructors in de.lmu.ifi.dbs.elki.evaluation.paircounting.generator with parameters of type Cluster

PairGeneratorNoise(Cluster<?> cluster)
Crate new generator for a base cluster object.

PairGeneratorSingleCluster(Cluster<?> cluster)
Generate pairs for a hierarchical cluster.

Uses of Cluster in de.lmu.ifi.dbs.elki.evaluation.roc

Methods in de.lmu.ifi.dbs.elki.evaluation.roc with parameters of type Cluster

static <D extends Distance<D>> double

ROC.computeROCAUCDistanceResult(int size, Cluster<?> clus, List<DistanceResultPair<D>> nei) Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.