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

["Chesnay Schepler (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-1731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chesnay Schepler closed FLINK-1731.
-----------------------------------
    Resolution: Won't Do

Closing since flink-ml is effectively frozen.

> 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: Library / Machine Learning
>            Reporter: Till Rohrmann
>            Assignee: Peter Schrott
>            Priority: Major
>              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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