You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/02/28 23:01:00 UTC
[jira] [Updated] (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:all-tabpanel ]
ASF GitHub Bot updated FLINK-1731:
----------------------------------
Labels: ML pull-request-available (was: ML)
> 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, pull-request-available
>
> 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
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)