| 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 
 | 
| 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)  | 
| Modifier and Type | Field and Description | 
|---|---|
(package private) Clustering<OPTICSModel> | 
OPTICSClusterVisualization.Instance.clus
Our clustering 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private void | 
OPTICSClusterVisualization.Instance.drawClusters(Clustering<OPTICSModel> clustering,
            It<Cluster<OPTICSModel>> clusters,
            int depth,
            java.util.Map<Cluster<?>,java.lang.String> colormap)
Recursively draw clusters 
 | 
private void | 
OPTICSClusterVisualization.Instance.drawClusters(Clustering<OPTICSModel> clustering,
            It<Cluster<OPTICSModel>> clusters,
            int depth,
            java.util.Map<Cluster<?>,java.lang.String> colormap)
Recursively draw clusters 
 | 
Copyright © 2019 ELKI Development Team. License information.