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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2017/02/09 04:02:41 UTC

[jira] [Commented] (FLINK-1731) Add kMeans clustering algorithm to machine learning library

    [ https://issues.apache.org/jira/browse/FLINK-1731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15858967#comment-15858967 ] 

ASF GitHub Bot commented on FLINK-1731:
---------------------------------------

Github user skonto commented on the issue:

    https://github.com/apache/flink/pull/3192
  
    @sachingoel0101 could you update the PR so I can do a final review and request a merge?
    @tillrohrmann could assist with the forwardedfields question?


> Add kMeans clustering algorithm to machine learning library
> -----------------------------------------------------------
>
>                 Key: FLINK-1731
>                 URL: https://issues.apache.org/jira/browse/FLINK-1731
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Peter Schrott
>              Labels: ML
>
> The Flink repository already contains a kMeans implementation but it is not yet ported to the machine learning library. I assume that only the used data types have to be adapted and then it can be more or less directly moved to flink-ml.
> The kMeans++ [1] and the kMeans|| [2] algorithm constitute a better implementation because the improve the initial seeding phase to achieve near optimal clustering. It might be worthwhile to implement kMeans||.
> Resources:
> [1] http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf
> [2] http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf



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