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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1731) Add kMeans clustering algorithm to machine learning library
Date Sun, 31 May 2015 14:17:17 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14566558#comment-14566558
] 

Till Rohrmann commented on FLINK-1731:
--------------------------------------

Sorry, didn't have much time lately to review the PR. I'll try to spend some time on them.
Currently, we made a major rewriting of the pipeline mechanism which makes it necessary to
rebase the PR. See [http://ci.apache.org/projects/flink/flink-docs-master/libs/ml/pipelines.html]
for further information.

What were [~peedeeX21]'s concerns? I could not find them.

[~sachingoel0101], as far as I know, there is no one working on kmeans||. You can take the
lead.

> 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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