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https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14943004#comment-14943004
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ASF GitHub Bot commented on FLINK-1745:
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Github user uce commented on the pull request:
https://github.com/apache/flink/pull/1220#issuecomment-145449146
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`
> 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]
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