CutDendrogramByHeightExtractor (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor

All Implemented Interfaces:

elki.evaluation.Evaluator, elki.result.ResultProcessor
```
public class CutDendrogramByHeightExtractor
extends java.lang.Object
implements elki.evaluation.Evaluator
```
Extract clusters from a hierarchical clustering, during the evaluation phase.
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.

Since:

0.7.0

Author:

Erich Schubert

- Nested Class Summary
  
  Nested Classes
  Modifier and Type Class Description
  
  static class CutDendrogramByHeightExtractor.Par
  Parameterization class.
- Field Summary
  
  Fields
  Modifier and Type Field Description
  
  private CutDendrogramByHeight inner
  Class to perform the cluster extraction.
- Constructor Summary
  
  Constructors
  Constructor Description
  
  CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)
  Constructor.
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  void processNewResult(java.lang.Object newResult)
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - inner
```
private CutDendrogramByHeight inner
```
    Class to perform the cluster extraction.
- Constructor Detail
  - CutDendrogramByHeightExtractor
```
public CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)
```
    Constructor.
    
    Parameters:
    
    inner - Inner algorithm instance.
- Method Detail
  - processNewResult
```
public void processNewResult(java.lang.Object newResult)
```
    Specified by:
    
    processNewResult in interface elki.result.ResultProcessor