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 |
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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.