SumOfClusterVariances (Hipparchus 1.4 API)

java.lang.Object
- org.hipparchus.clustering.evaluation.ClusterEvaluator<T>
- - org.hipparchus.clustering.evaluation.SumOfClusterVariances<T>

Type Parameters:

T - the type of the clustered points
```
public class SumOfClusterVariances<T extends Clusterable>
extends ClusterEvaluator<T>
```
Computes the sum of intra-cluster distance variances according to the formula: \] score = \sum\limits_{i=1}^n \sigma_i^2 \] where n is the number of clusters and \( \sigma_i^2 \) is the variance of intra-cluster distances of cluster \( c_i \).

Constructor Summary

Constructors
Constructor Description

SumOfClusterVariances(DistanceMeasure measure)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`score(List<? extends Cluster<T>> clusters)`	Computes the evaluation score for the given list of clusters.

Methods inherited from class org.hipparchus.clustering.evaluation.ClusterEvaluator
centroidOf, distance, isBetterScore

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

- Constructor Detail
  - SumOfClusterVariances
```
public SumOfClusterVariances(DistanceMeasure measure)
```
    Parameters:
    
    measure - the distance measure to use
- Method Detail
  - score
```
public double score(List<? extends Cluster<T>> clusters)
```
    Computes the evaluation score for the given list of clusters.
    
    Specified by:
    
    score in class ClusterEvaluator<T extends Clusterable>
    
    Parameters:
    
    clusters - the clusters to evaluate
    
    Returns:
    
    the computed score