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

2016-11-15 Thread Lei Wang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15669182#comment-15669182
 ] 

Lei Wang commented on SPARK-17836:
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Yes. Of course.
Do you also have the same demand?

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

2016-11-13 Thread Aditya (JIRA)

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