GitHub user fjiang6 opened a pull request: https://github.com/apache/spark/pull/3382
[SPARK-4510][MLlib]: Add k-medoids Partitioning Around Medoids (PAM) algorithm PAM (k-medoids) including the test case and an example. Passed the style checks Tested and compared with K-Means in MLlib, showing more steady performances. You can merge this pull request into a Git repository by running: $ git pull https://github.com/Huawei-Spark/spark PAM Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/3382.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 #3382 ---- commit 95cd43e21a5e4499fd63125dde6973a4271a0de2 Author: Jiang Fan <fjia...@gmail.com> Date: 2014-11-20T02:59:18Z add PAM algorithm with an example commit 8721fc2d0fead9e72427909d5dab455e7dcd67f9 Author: Jiang Fan <fjia...@gmail.com> Date: 2014-11-20T03:05:43Z add newline at end of file commit 9b4131a3fee5e9cd5a7ac58c7718b78236412f7e Author: Jiang Fan <fjia...@gmail.com> Date: 2014-11-20T05:05:06Z add the PAMSuite.scala ---- --- 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