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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2016/04/10 09:12:25 UTC
[jira] [Commented] (SPARK-14516) What about adding general
clustering metrics?
[ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15233946#comment-15233946 ]
zhengruifeng commented on SPARK-14516:
--------------------------------------
cc [~mengxr] [~josephkb] [~yanboliang]
> 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
>
> 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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