Saikat Kanjilal commented on SPARK-14516:

New to spark and am interested in helping with building a general purpose 
cluster evaluator, is the goal of this to use the metrics to evaluate overall 
clustering quality? [~akamal] [~josephkb] let me know how I can help.

> Clustering evaluator
> --------------------
>                 Key: SPARK-14516
>                 URL: https://issues.apache.org/jira/browse/SPARK-14516
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: ML
>            Reporter: zhengruifeng
>            Priority: Minor
> MLlib does not have any general purposed clustering metrics with a ground 
> truth.
> In 
> [Scikit-Learn](http://scikit-learn.org/stable/modules/classes.html#clustering-metrics),
>  there are several kinds of metrics for this.
> It may be meaningful to add some clustering metrics into MLlib.
> This should be added as a {{ClusteringEvaluator}} class of extending 
> {{Evaluator}} in spark.ml.

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