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https://issues.apache.org/jira/browse/SPARK-9918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14694365#comment-14694365
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Joseph K. Bradley commented on SPARK-9918:
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I like this idea. "runs" seems like it should be in a wrapper analogous to
CrossValidator (choosing best model from multiple runs). And I agree we can
probably get similar performance improvements by blocking the cluster centers
and/or data points for higher-level BLAS ops.
> Remove runs from KMeans under the pipeline API
> ----------------------------------------------
>
> Key: SPARK-9918
> URL: https://issues.apache.org/jira/browse/SPARK-9918
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.5.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
>
> This requires some discussion. I'm not sure whether `runs` is a useful
> parameter. It certainly complicates the implementation. We might want to
> optimize the k-means implementation with block matrix operations. In this
> case, having `runs` may not be worth the trade-offs.
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