ClusterEvaluator (Apache Commons Math 4.0-beta1)

All Known Implementing Classes:

CalinskiHarabasz, SumOfClusterVariances
```
public interface ClusterEvaluator
```
Defines a measure of the quality of clusters.

Method Summary

All Methods Static Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`boolean`	`isBetterScore(double a, double b)`	Provides a means to interpret the `score value`.
`static <T extends Clusterable> ClusterRanking`	`ranking(ClusterEvaluator eval)`	Converts to a `ranking function` (as required by clustering implementations).
`double`	`score(List<? extends Cluster<? extends Clusterable>> cList)`

- Method Detail
  - score
```
double score(List<? extends Cluster<? extends Clusterable>> cList)
```
    Parameters:
    
    cList - List of clusters.
    
    Returns:
    
    the score attributed by the evaluator.
  - isBetterScore
```
boolean isBetterScore(double a,
                      double b)
```
    Provides a means to interpret the score value.
    
    Parameters:
    
    a - Score computed by this evaluator.
    
    b - Score computed by this evaluator.
    
    Returns:
    
    true if the evaluator considers that score a is better than score b.
  - ranking
```
static <T extends Clusterable> ClusterRanking ranking(ClusterEvaluator eval)
```
    Converts to a ranking function (as required by clustering implementations).
    
    Type Parameters:
    
    T - the type of points that can be clustered
    
    Parameters:
    
    eval - Evaluator function.
    
    Returns:
    
    a ranking function.