SameSizeKMeans.Meta (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- tutorial.clustering.SameSizeKMeans.Meta

Enclosing class:

SameSizeKMeans<V extends NumberVector>
```
private static class SameSizeKMeans.Meta
extends java.lang.Object
```
Object metadata.

Author:

Erich Schubert

Field Summary

Fields
Modifier and Type	Field	Description
`(package private) double[]`	`dists`	Distance to the cluster centers.
`(package private) int`	`primary`	Indexes: primary assignment (current or best), secondary assignment (second best or worst).
`(package private) int`	`secondary`	Indexes: primary assignment (current or best), secondary assignment (second best or worst).

Constructor Summary

Constructors
Modifier Constructor Description

protected Meta(int k)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected double`	`gain(int i)`	Gain from switching to cluster i.
`protected double`	`priority()`	Priority / badness: difference between best and worst.

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

- Field Detail
  - dists
```
double[] dists
```
    Distance to the cluster centers.
  - primary
```
int primary
```
    Indexes: primary assignment (current or best), secondary assignment (second best or worst). The actual meaning differs from initialization to iteration phase!
  - secondary
```
int secondary
```
    Indexes: primary assignment (current or best), secondary assignment (second best or worst). The actual meaning differs from initialization to iteration phase!
- Constructor Detail
  - Meta
```
protected Meta(int k)
```
    Constructor.
    
    Parameters:
    
    k - Number of clusters
- Method Detail
  - priority
```
protected double priority()
```
    Priority / badness: difference between best and worst. (Assuming that "secondary" is the worst).
    
    Returns:
    
    Priority
  - gain
```
protected double gain(int i)
```
    Gain from switching to cluster i.
    
    Parameters:
    
    i - Target cluster
    
    Returns:
    
    Gain