[jira] [Commented] (SPARK-17836) Use cross validation to determine the number of clusters for EM or KMeans algorithms

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

    [ https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15662142#comment-15662142 ] 

Aditya commented on SPARK-17836:
--------------------------------

Sean Owen I want to work on this issue. Is it fine?

> Use cross validation to determine the number of clusters for EM or KMeans algorithms
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-17836
>                 URL: https://issues.apache.org/jira/browse/SPARK-17836
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Lei Wang
>            Priority: Minor
>
> Sometimes it's not easy for users to determine number of clusters.
> It would be very useful If spark ml can support this. 
> There are several methods to do this according to wiki https://en.wikipedia.org/wiki/Determining_the_number_of_clusters_in_a_data_set
> Weka uses cross validation.



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