public class CutDendrogramByNumberOfClusters extends AbstractCutDendrogram implements ClusteringAlgorithm<Clustering<DendrogramModel>>
| Modifier and Type | Class and Description | 
|---|---|
| protected class  | CutDendrogramByNumberOfClusters.InstanceInstance for a single data set. | 
| static class  | CutDendrogramByNumberOfClusters.ParameterizerParameterization class. | 
| Modifier and Type | Field and Description | 
|---|---|
| (package private) static Logging | LOGClass logger. | 
| private int | minclustersMinimum number of clusters to extract | 
algorithm, hierarchical| Constructor and Description | 
|---|
| CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm,
                               int minclusters,
                               boolean hierarchical)Constructor. | 
| Modifier and Type | Method and Description | 
|---|---|
| protected Logging | getLogger() | 
| Clustering<DendrogramModel> | run(PointerHierarchyRepresentationResult pointerresult)Process a pointer hierarchy result. | 
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.