Class CutDendrogramByNumberOfClusters
- java.lang.Object
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- elki.clustering.hierarchical.extraction.AbstractCutDendrogram
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- elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters
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- All Implemented Interfaces:
elki.Algorithm,ClusteringAlgorithm<Clustering<DendrogramModel>>
public class CutDendrogramByNumberOfClusters extends AbstractCutDendrogram implements ClusteringAlgorithm<Clustering<DendrogramModel>>
Extract a flat clustering from a full hierarchy, represented in pointer form.- Since:
- 0.7.5
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description protected classCutDendrogramByNumberOfClusters.InstanceInstance for a single data set.static classCutDendrogramByNumberOfClusters.ParParameterization class.
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Field Summary
Fields Modifier and Type Field Description (package private) static elki.logging.LoggingLOGClass logger.private intminclustersMinimum number of clusters to extract-
Fields inherited from class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
algorithm, hierarchical, simplify
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Constructor Summary
Constructors Constructor Description CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm, int minclusters, boolean hierarchical)Constructor.CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm, int minclusters, boolean hierarchical, boolean simplify)Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected elki.logging.LogginggetLogger()Clustering<DendrogramModel>run(ClusterMergeHistory merges)Process a pointer hierarchy result.-
Methods inherited from class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
getInputTypeRestriction, run
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface elki.clustering.ClusteringAlgorithm
autorun
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Constructor Detail
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CutDendrogramByNumberOfClusters
public CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm, int minclusters, boolean hierarchical)
Constructor.- Parameters:
algorithm- Algorithm to runminclusters- Minimum number of clustershierarchical- Produce a hierarchical output
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CutDendrogramByNumberOfClusters
public CutDendrogramByNumberOfClusters(HierarchicalClusteringAlgorithm algorithm, int minclusters, boolean hierarchical, boolean simplify)
Constructor.- Parameters:
algorithm- Algorithm to runminclusters- Minimum number of clustershierarchical- Produce a hierarchical outputsimplify- Simplify by putting single points into merge clusters
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Method Detail
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run
public Clustering<DendrogramModel> run(ClusterMergeHistory merges)
Description copied from class:AbstractCutDendrogramProcess a pointer hierarchy result.- Specified by:
runin classAbstractCutDendrogram- Parameters:
merges- Hierarchical result in pointer representation.- Returns:
- Clustering
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getLogger
protected elki.logging.Logging getLogger()
- Specified by:
getLoggerin classAbstractCutDendrogram
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