Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
Modifier and Type | Method and Description |
---|---|
private void |
ERiC.buildHierarchy(Clustering<CorrelationModel<V>> clustering,
List<List<Cluster<CorrelationModel<V>>>> clusterMap,
ERiCNeighborPredicate.Instance npred) |
private List<List<Cluster<CorrelationModel<V>>>> |
ERiC.extractCorrelationClusters(Clustering<Model> dbscanResult,
Relation<V> database,
int dimensionality,
ERiCNeighborPredicate.Instance npred)
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.
|
private boolean |
ERiC.isParent(ERiCNeighborPredicate.Instance npred,
Cluster<CorrelationModel<V>> parent,
Hierarchy.Iter<Cluster<CorrelationModel<V>>> iter)
Returns true, if the specified parent cluster is a parent of one child of
the children clusters.
|
Modifier and Type | Method and Description |
---|---|
ERiCNeighborPredicate.Instance |
ERiCNeighborPredicate.instantiate(Database database,
Relation<V> relation)
Full instantiation interface.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.