Chen Tao created MATH-1521:
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Summary: A interface to implements various of clusters external
measurers
Key: MATH-1521
URL: https://issues.apache.org/jira/browse/MATH-1521
Project: Commons Math
Issue Type: New Feature
Reporter: Chen Tao
There are many clusters evaluation algorithm:
[scikit-learn
clustering-performance-evaluation|https://scikit-learn.org/stable/modules/clustering.html#clustering-performance-evaluation]
They can be divided into 2 categories: “External Measurers” and "Internal
Measurers".
The “External Measurers” evaluator clusters reference to another clusters.
As opposed to “Internal Measurers”, the "External Measurers" may be:
{code:java}
public interface ClusterExternalEvaluator {
/**
* @param cList List of clusters.
* @return the score attributed by the evaluator.
*/
<T extends Clusterable> double score(List<? extends Cluster<? extends T>>
clusters1, List<? extends Cluster<? extends T>> clusters2);
/**
* @param a Score computed by this evaluator.
* @param b Score computed by this evaluator.
* @return true if the evaluator considers score {@code a} is
* considered better than score {@code b}.
*/
boolean isBetterScore(double a, double b);
{code}
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