GitHub user yanboliang opened a pull request: https://github.com/apache/spark/pull/14937
[SPARK-8519][SPARK-11560] [ML] [MLlib] Optimize KMeans implementation. ## What changes were proposed in this pull request? Use BLAS Level 3 matrix-matrix multiplications to compute pairwise distance in k-means. This is the updated version of #10806. Todo: [] Post performance comparison. ## How was this patch tested? Existing unit tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/yanboliang/spark spark-8519-2 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/14937.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #14937 ---- commit ce36c51609c5bdd5029fbd523eec73ba1bbbe6e2 Author: Yanbo Liang <yblia...@gmail.com> Date: 2016-09-02T12:51:04Z Optimize KMeans implementation. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org