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https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14326389#comment-14326389
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Joseph K. Bradley commented on SPARK-5016:
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[~tgaloppo] That would be great if we could improve the stability at higher
dimensions. I'm not too familiar with some of these issues. It would be great
to understand (a) existing implementations which work in high dimensions and
(b) published works showing meaningful clusterings achieved in high dimensions
(to verify that it's worth the effort).
> GaussianMixtureEM should distribute matrix inverse for large numFeatures, k
> ---------------------------------------------------------------------------
>
> Key: SPARK-5016
> URL: https://issues.apache.org/jira/browse/SPARK-5016
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
>
> If numFeatures or k are large, GMM EM should distribute the matrix inverse
> computation for Gaussian initialization.
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