[jira] [Commented] (SPARK-14516) Clustering evaluator

["Marco Gaido (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16069815#comment-16069815 ] 

Marco Gaido commented on SPARK-14516:
-------------------------------------

Hello everybody,

I have a proposal for a very efficient Silhouette implementation in a distributed environment. Here you can find the link with all the details of the solution. As soon as I will finish all the implementation and the tests I will post the PR for this: https://drive.google.com/file/d/0B0Hyo%5f%5fbG%5f3fdkNvSVNYX2E3ZU0/view.

Please tell me if you have any comment, doubt on it.

Thanks.


> 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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