ClusteringMetric

All Superinterfaces:: Serializable

All Known Implementing Classes:: AdjustedMutualInformation, AdjustedRandIndex, MutualInformation, NormalizedMutualInformation, RandIndex

public interface ClusteringMetric extends Serializable

An abstract interface to measure the clustering performance.

Method Summary

Modifier and Type

Method

Description

double

score(int[] truth, int[] cluster)

Returns a score to measure the quality of clustering.

Method Details
- score
  
  double score(int[] truth, int[] cluster)
  
  Returns a score to measure the quality of clustering.
  
  Parameters:
  
  truth - the ground truth (or simply a clustering labels).
  
  cluster - the alternative cluster labels.
  
  Returns:
  
  the metric.