Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/3382
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3382#issuecomment-71796637
@fjiang6 It seems that we don't really have a scalable solution at this
time. Do you mind closing this PR? It would be great if you can maintain this
k-medoids implementat
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3382#issuecomment-64295676
@fjiang6 I made a comment on the JIRA page. I think we need to discuss the
complexity before looking into the code. Shall we have the discussion there?
Thanks!
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/3382#issuecomment-63791407
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/3382#issuecomment-63791400
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Github user SparkQA commented on the pull request:
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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-Mean