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Till Rohrmann commented on FLINK-1731: -------------------------------------- Great to hear that you guys will pick up this task. There is also the kMeans++ [1] and kMeans|| [2] algorithms which improve the the initial seeding to reach near optimal clustering. If you want to, then you can also implement these algorithms. [1] http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf [2] http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf > 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: Alexander Alexandrov > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)