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https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15394001#comment-15394001
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ASF GitHub Bot commented on FLINK-1745:
---------------------------------------

Github user thvasilo commented on the issue:

    https://github.com/apache/flink/pull/1220
  
    Oh, sorry should have checked the master docs.
    
    On Jul 26, 2016 5:29 AM, "Chiwan Park" <notificati...@github.com> wrote:
    
    > Hi @thvasilo <https://github.com/thvasilo>, I've checked the FlinkML
    > index page
    > 
<https://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/index.html#supervised-learning>.
    > There is a link to k-NN page in the index page. We find the link in the
    > page for Flink 1.1 only because k-NN is merged to only master branch.
    >
    > —
    > You are receiving this because you were mentioned.
    > Reply to this email directly, view it on GitHub
    > <https://github.com/apache/flink/pull/1220#issuecomment-235252716>, or 
mute
    > the thread
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<https://github.com/notifications/unsubscribe-auth/AIoToxneJBOuEIqELaXDdf4uoGPPoHEgks5qZf2MgaJpZM4GId-u>
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    >



> 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
>             Fix For: 1.1.0
>
>
> 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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