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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1745) Add exact k-nearest-neighbours algorithm to machine learning library
Date Mon, 05 Oct 2015 07:28:26 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14943004#comment-14943004
] 

ASF GitHub Bot commented on FLINK-1745:
---------------------------------------

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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