[jira] [Updated] (SPARK-14516) What about adding general clustering metrics?

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-14516:
------------------------------
    Priority: Minor  (was: Major)

I personally think silhouette could be worth adding. The supervised metrics require a label and not sure that's generally available in clustering problems.

> What about adding general clustering metrics?
> ---------------------------------------------
>
>                 Key: SPARK-14516
>                 URL: https://issues.apache.org/jira/browse/SPARK-14516
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: ML, MLlib
>            Reporter: zhengruifeng
>            Priority: Minor
>
> ML/MLLIB dont 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 ML/MLLIB.



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