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Peter Schrott commented on FLINK-1731: -------------------------------------- As discussed with [~aalexandrov] The initial centroids are given to the kmeans within the parameter map. For convenience fluent syntax is added. > 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. > 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 (v6.3.4#6332)