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

java.lang.Object
- elki.clustering.kmeans.AbstractKMeans.Par<V>
- - elki.clustering.kmeans.SortMeans.Par<V>

All Implemented Interfaces:

elki.utilities.optionhandling.Parameterizer

Enclosing class:

SortMeans<V extends elki.data.NumberVector>
```
public static class SortMeans.Par<V extends elki.data.NumberVector>
extends AbstractKMeans.Par<V>
```
Parameterization class.

Author:

Erich Schubert

Field Summary
- 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
`SortMeans<V>`	`make()`
`protected boolean`	`needsMetric()`	Users could use other non-metric distances at their own risk; but some k-means variants make explicit use of the triangle inequality, we emit extra warnings then.

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

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

- Constructor Detail
  - Par
```
public Par()
```
- Method Detail
  - needsMetric
```
protected boolean needsMetric()
```
    Description copied from class: AbstractKMeans.Par
    
    Users could use other non-metric distances at their own risk; but some k-means variants make explicit use of the triangle inequality, we emit extra warnings then.
    
    Overrides:
    
    needsMetric in class AbstractKMeans.Par<V extends elki.data.NumberVector>
    
    Returns:
    
    true if the algorithm uses triangle inequality
  - make
```
public SortMeans<V> make()
```
    Specified by:
    
    make in interface elki.utilities.optionhandling.Parameterizer
    
    Specified by:
    
    make in class AbstractKMeans.Par<V extends elki.data.NumberVector>