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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:
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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" <[email protected]> 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.
>
> —
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> <https://github.com/apache/flink/pull/1220#issuecomment-235252716>, or
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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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