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Till Rohrmann commented on FLINK-1745: -------------------------------------- That sounds really good [~chiwanpark] and [~raghav.chalapa...@gmail.com] :-). We can use this issue to track the progress of the exact kNN implementation and I'll add another one for the approximated kNN. > Add k-nearest-neighbours algorithm to machine learning library > -------------------------------------------------------------- > > Key: FLINK-1745 > URL: https://issues.apache.org/jira/browse/FLINK-1745 > Project: Flink > Issue Type: New Feature > Components: Machine Learning Library > Reporter: Till Rohrmann > Assignee: Chiwan Park > Labels: ML, Starter > > Even though the k-nearest-neighbours (kNN) [1,2] algorithm is quite trivial > it is still used as a mean to classify data and to do regression. > Could be a starter task. > Resources: > [1] [http://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm] > [2] [https://www.cs.utah.edu/~lifeifei/papers/mrknnj.pdf] -- This message was sent by Atlassian JIRA (v6.3.4#6332)