public class ExtractFlatClusteringFromHierarchyEvaluator extends Object implements Evaluator
ExtractFlatClusteringFromHierarchy
as primary algorithm. But in order to extract multiple partitionings
from the same clustering, this can be useful.Modifier and Type | Class and Description |
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protected static class |
ExtractFlatClusteringFromHierarchyEvaluator.DummyHierarchicalClusteringAlgorithm
Dummy instance.
|
static class |
ExtractFlatClusteringFromHierarchyEvaluator.Parameterizer
Parameterization class.
|
Modifier and Type | Field and Description |
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private ExtractFlatClusteringFromHierarchy |
inner
Class to perform the cluster extraction.
|
Constructor and Description |
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ExtractFlatClusteringFromHierarchyEvaluator(ExtractFlatClusteringFromHierarchy inner)
Constructor.
|
private ExtractFlatClusteringFromHierarchy inner
public ExtractFlatClusteringFromHierarchyEvaluator(ExtractFlatClusteringFromHierarchy inner)
inner
- Inner algorithm instance.public void processNewResult(ResultHierarchy hier, Result newResult)
ResultProcessor
processNewResult
in interface ResultProcessor
hier
- The base of the result tree.newResult
- Newly added result subtree.Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.