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https://issues.apache.org/jira/browse/SPARK-17033?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15419842#comment-15419842
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Apache Spark commented on SPARK-17033:
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User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/14628
> GaussianMixture should use treeAggregate to improve performance
> ---------------------------------------------------------------
>
> Key: SPARK-17033
> URL: https://issues.apache.org/jira/browse/SPARK-17033
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Yanbo Liang
> Priority: Minor
>
> {{GaussianMixture}} should use {{treeAggregate}} rather than {{aggregate}} to
> improve performance and scalability. In my test of dataset with 200 features
> and 1M instance, I found there is 20% increased performance.
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