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

java.lang.Object
- elki.clustering.hierarchical.MiniMax<O>
- - elki.clustering.hierarchical.MiniMaxAnderberg<O>

All Implemented Interfaces:

elki.Algorithm, HierarchicalClusteringAlgorithm
```
@Reference(authors="M. R. Anderberg",
           title="Hierarchical Clustering Methods",
           booktitle="Cluster Analysis for Applications",
           bibkey="books/academic/Anderberg73/Ch6")
@Priority(195)
public class MiniMaxAnderberg<O>
extends MiniMax<O>
```
This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
This optimization is attributed to M. R. Anderberg.
Reference:
M. R. Anderberg
Hierarchical Clustering Methods
Cluster Analysis for Applications
ISBN: 0120576503

Since:

0.7.5

Author:

Julian Erhard, Erich Schubert

- Nested Class Summary
  
  Nested Classes
  Modifier and Type Class Description
  
  static class MiniMaxAnderberg.Instance
  Main worker instance of MiniMax.
  - Nested classes/interfaces inherited from interface elki.Algorithm
    elki.Algorithm.Utils
- Field Summary
  
  Fields
  Modifier and Type Field Description
  
  private static elki.logging.Logging LOG
  Class logger
  - Fields inherited from class elki.clustering.hierarchical.MiniMax
    distance
- Constructor Summary
  
  Constructors
  Constructor Description
  
  MiniMaxAnderberg(elki.distance.Distance<? super O> distance)
  Constructor.
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  ClusterPrototypeMergeHistory run(elki.database.relation.Relation<O> relation)
  Run the algorithm
  - Methods inherited from class elki.clustering.hierarchical.MiniMax
    getInputTypeRestriction, initializeMatrices
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  - Methods inherited from interface elki.clustering.hierarchical.HierarchicalClusteringAlgorithm
    autorun

- Field Detail
  - LOG
```
private static final elki.logging.Logging LOG
```
    Class logger
- Constructor Detail
  - MiniMaxAnderberg
```
public MiniMaxAnderberg(elki.distance.Distance<? super O> distance)
```
    Constructor.
    
    Parameters:
    
    distance - Distance function to use
- Method Detail
  - run
```
public ClusterPrototypeMergeHistory run(elki.database.relation.Relation<O> relation)
```
    Run the algorithm
    
    Overrides:
    
    run in class MiniMax<O>
    
    Parameters:
    
    relation - Relation
    
    Returns:
    
    Clustering hierarchy