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From "Simone Robutti (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (FLINK-1731) Add kMeans clustering algorithm to machine learning library
Date Fri, 05 Feb 2016 10:57:39 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15134002#comment-15134002
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Simone Robutti edited comment on FLINK-1731 at 2/5/16 10:56 AM:
----------------------------------------------------------------

Hi [~till.rohrmann]

any news on the inclusion of K-Means in the 1.0 release? 


was (Author: chobeat):
Hi [~trohrmann@apache.org]

any news on the inclusion of K-Means in the 1.0 release? 

> 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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