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https://issues.apache.org/jira/browse/SPARK-6398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14370305#comment-14370305
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Joseph K. Bradley commented on SPARK-6398:
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I know we've discussed this, but it will be helpful to see evidence (papers,
use cases, etc.) that Gaussian mixtures are meaningful in high dimensions.
> Improve utility of GaussianMixture for higher dimensional data
> --------------------------------------------------------------
>
> Key: SPARK-6398
> URL: https://issues.apache.org/jira/browse/SPARK-6398
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Travis Galoppo
> Assignee: Travis Galoppo
>
> The current EM implementation for GaussianMixture protects itself from
> numerical instability at the expense of utility in high dimensions. A few
> options exist for extending utility into higher dimensions.
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