public class CutDendrogramByHeightExtractor extends java.lang.Object implements Evaluator
Usually, it is more elegant to use CutDendrogramByHeight as primary
algorithm. But in order to extract multiple partitionings from the
same clustering, this can be useful.
| Modifier and Type | Class and Description |
|---|---|
protected static class |
CutDendrogramByHeightExtractor.DummyHierarchicalClusteringAlgorithm
Dummy instance.
|
static class |
CutDendrogramByHeightExtractor.Parameterizer
Parameterization class.
|
| Modifier and Type | Field and Description |
|---|---|
private CutDendrogramByHeight |
inner
Class to perform the cluster extraction.
|
| Constructor and Description |
|---|
CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
void |
processNewResult(ResultHierarchy hier,
Result newResult)
Process a result.
|
private CutDendrogramByHeight inner
public CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)
inner - Inner algorithm instance.public void processNewResult(ResultHierarchy hier, Result newResult)
ResultProcessorprocessNewResult in interface ResultProcessorhier - The base of the result tree.newResult - Newly added result subtree.Copyright © 2019 ELKI Development Team. License information.