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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:20:15 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-17836:
---------------------------------
    Labels: bulk-closed  (was: )

> 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
>              Labels: bulk-closed
>
> 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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