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https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14548163#comment-14548163
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Till Rohrmann commented on FLINK-1745:
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Hi [~chiwanpark],
great to hear that you already have the first version ready. For code review
and annotation it would be easiest if you opened a pull request against the
current master.
1. If you need {{Vectors}} which are comparable, then you could add this
interface to the {{Vector}} class. But let's first review the code.
2. It's true that we cannot use software released under AGPLv3 license. I also
only found [https://github.com/meetup/archery] which works on 2D data. Maybe we
can extend this library to also support n-dimensional data. Or maybe someone
else knows a good R tree library published under an appropriate license.
> 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: Chiwan Park
> 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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