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https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14305032#comment-14305032
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Manoj Kumar commented on SPARK-5021:
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I fixed it up, and it works for sparse input. However refactoring the code
seems to be a huge pain and I get a lot of unrelated errors.
Would you like to have a look at the working pre-refactored code or the post
refactored one, which is cleaner, but I'm unable to figure the error out myself
and you might be able to help.
Thanks.
> GaussianMixtureEM should be faster for SparseVector input
> ---------------------------------------------------------
>
> Key: SPARK-5021
> URL: https://issues.apache.org/jira/browse/SPARK-5021
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
> Assignee: Manoj Kumar
>
> GaussianMixtureEM currently converts everything to dense vectors. It would
> be nice if it were faster for SparseVectors (running in time linear in the
> number of non-zero values).
> However, this may not be too important since clustering should rarely be done
> in high dimensions.
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