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https://issues.apache.org/jira/browse/SPARK-5015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14261936#comment-14261936
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Meethu Mathew commented on SPARK-5015:
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Instead of using random seed , using the cluster centers returned by kmeans++
for initializing the means in GMM would be good strategy as implemented in
scikit-learn http://scikit-learn.org/stable/modules/mixture.html#mixture. What
is your opinion ?
> GaussianMixtureEM should take random seed parameter
> ---------------------------------------------------
>
> Key: SPARK-5015
> URL: https://issues.apache.org/jira/browse/SPARK-5015
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> GaussianMixtureEM uses randomness but does not take a random seed. It should
> take one as a parameter.
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