public class CutDendrogramByNumberOfClusters extends AbstractCutDendrogram implements ClusteringAlgorithm<Clustering<DendrogramModel>>
| Modifier and Type | Class and Description | 
|---|---|
protected class  | 
CutDendrogramByNumberOfClusters.Instance
Instance for a single data set. 
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static class  | 
CutDendrogramByNumberOfClusters.Parameterizer
Parameterization class. 
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| Modifier and Type | Field and Description | 
|---|---|
(package private) static Logging | 
LOG
Class logger. 
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private int | 
minclusters
Minimum number of clusters to extract 
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algorithm, hierarchical| Constructor and Description | 
|---|
CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm,
                               int minclusters,
                               boolean hierarchical)
Constructor. 
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| Modifier and Type | Method and Description | 
|---|---|
protected Logging | 
getLogger()  | 
Clustering<DendrogramModel> | 
run(PointerHierarchyRepresentationResult pointerresult)
Process a pointer hierarchy result. 
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getInputTypeRestriction, runclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitrungetInputTypeRestrictionstatic final Logging LOG
private final int minclusters
public CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm, int minclusters, boolean hierarchical)
algorithm - Algorithm to runminclusters - Minimum number of clustershierarchical - Produce a hierarchical outputpublic Clustering<DendrogramModel> run(PointerHierarchyRepresentationResult pointerresult)
AbstractCutDendrogramrun in class AbstractCutDendrogrampointerresult - Hierarchical result in pointer representation.protected Logging getLogger()
getLogger in class AbstractCutDendrogramCopyright © 2019 ELKI Development Team. License information.