smile.validation.metric

Interface ClusteringMetric

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

AdjustedMutualInformation, AdjustedRandIndex, MutualInformation, NormalizedMutualInformation, RandIndex

public interface ClusteringMetric
extends java.io.Serializable

An abstract interface to measure the clustering performance.

Method Summary

Modifier and Type	Method and Description
double	score(int[] y1, int[] y2) Returns a score to measure the quality of clustering.

Method Detail

score

double score(int[] y1,
             int[] y2)

Returns a score to measure the quality of clustering.

Parameters:

y1 - the cluster labels.

y2 - the alternative cluster labels.