GMeans.Par (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.clustering.kmeans.AbstractKMeans.Par<V>
- - elki.clustering.kmeans.GMeans.Par<V,M>

Type Parameters:

V - Vector type

M - Model type of inner algorithm

All Implemented Interfaces:

Parameterizer

Enclosing class:

GMeans<V extends NumberVector,M extends MeanModel>
```
public static class GMeans.Par<V extends NumberVector,M extends MeanModel>
extends AbstractKMeans.Par<V>
```
Parameterization class.

Author:

Robert Gehde

Field Summary

Fields
Modifier and Type Field Description

protected double critical
Critical value

static OptionID CRITICAL_ID
Critical value for the Anderson-Darling-Test
- Fields inherited from class elki.clustering.kmeans.XMeans.Par
  INFORMATION_CRITERION_ID, informationCriterion, INNER_KMEANS_ID, innerKMeans, k_max, k_min, K_MIN_ID, random, SEED_ID
- Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Par
  distance, initializer, k, maxiter, varstat

Constructor Summary

Constructors
Constructor Description

Par()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected void`	`configureInformationCriterion(Parameterization config)`	Configure the information criterion option, to allow overriding by `GMeans`.
`GMeans<V,M>`	`make()`	Make an instance after successful configuration.

Methods inherited from class elki.clustering.kmeans.XMeans.Par
configure

Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Par
getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat, needsMetric

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - CRITICAL_ID
```
public static final OptionID CRITICAL_ID
```
    Critical value for the Anderson-Darling-Test
  - critical
```
protected double critical
```
    Critical value
- Constructor Detail
  - Par
```
public Par()
```
- Method Detail
  - configureInformationCriterion
```
protected void configureInformationCriterion(Parameterization config)
```
    Description copied from class: XMeans.Par
    
    Configure the information criterion option, to allow overriding by GMeans.
    
    Overrides:
    
    configureInformationCriterion in class XMeans.Par<V extends NumberVector,M extends MeanModel>
    
    Parameters:
    
    config - Parameterization
  - make
```
public GMeans<V,M> make()
```
    Description copied from interface: Parameterizer
    
    Make an instance after successful configuration.
    Note: your class should return the exact type, only this very broad interface should use Object as return type.
    
    Specified by:
    
    make in interface Parameterizer
    
    Overrides:
    
    make in class XMeans.Par<V extends NumberVector,M extends MeanModel>
    
    Returns:
    
    a new instance