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

Packages that use OPTICSModel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
de.lmu.ifi.dbs.elki.visualization.visualizers.optics	Visualizers that do work on OPTICS plots

Uses of OPTICSModel in de.lmu.ifi.dbs.elki.algorithm.clustering.optics

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

Modifier and Type	Method and Description
private Clustering<OPTICSModel>	OPTICSXi.extractClusters(ClusterOrder clusterOrderResult, Relation<?> relation, double ixi, int minpts) Extract clusters from a cluster order result.
Clustering<OPTICSModel>	OPTICSXi.run(Database database, Relation<?> relation)

Uses of OPTICSModel in de.lmu.ifi.dbs.elki.visualization.visualizers.optics

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.optics with type parameters of type OPTICSModel

Modifier and Type	Field and Description
(package private) Clustering<OPTICSModel>	OPTICSClusterVisualization.Instance.clus Our clustering

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.optics that return types with arguments of type OPTICSModel

Modifier and Type	Method and Description
protected static Clustering<OPTICSModel>	OPTICSClusterVisualization.findOPTICSClustering(VisualizerContext context, Result start) Find the first OPTICS clustering child of a result.

Method parameters in de.lmu.ifi.dbs.elki.visualization.visualizers.optics with type arguments of type OPTICSModel

Modifier and Type	Method and Description
private void	OPTICSClusterVisualization.Instance.drawClusters(Clustering<OPTICSModel> clustering, Hierarchy.Iter<Cluster<OPTICSModel>> clusters, int depth, Map<Cluster<?>,String> colormap) Recursively draw clusters
private void	OPTICSClusterVisualization.Instance.drawClusters(Clustering<OPTICSModel> clustering, Hierarchy.Iter<Cluster<OPTICSModel>> clusters, int depth, Map<Cluster<?>,String> colormap) Recursively draw clusters