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ASF GitHub Bot commented on FLINK-1745: --------------------------------------- Github user danielblazevski commented on the pull request: https://github.com/apache/flink/pull/1220#issuecomment-145508479 Changed the title of the PR. On Mon, Oct 5, 2015 at 3:28 AM, Ufuk Celebi <notificati...@github.com> wrote: > Thanks for this impressive PR. A minor comment: could you edit the title > of the PR to include more details than the issue ID (we can't do it because > the ASF is managing the github account). It's hard to track the PRs > otherwise. I would just go with the JIRA title: [FLINK-1745] Add exact > k-nearest-neighbours algorithm to machine learning library > > — > Reply to this email directly or view it on GitHub > <https://github.com/apache/flink/pull/1220#issuecomment-145449146>. > > Add exact 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: Daniel Blazevski > 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. This issue > focuses on the implementation of an exact kNN (H-BNLJ, H-BRJ) algorithm as > proposed in [2]. > 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)