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