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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/02/28 23:08:00 UTC
[jira] [Updated] (FLINK-1934) Add approximative
k-nearest-neighbours (kNN) algorithm to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated FLINK-1934:
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Labels: ML pull-request-available (was: ML)
> Add approximative k-nearest-neighbours (kNN) algorithm to machine learning library
> ----------------------------------------------------------------------------------
>
> Key: FLINK-1934
> URL: https://issues.apache.org/jira/browse/FLINK-1934
> Project: Flink
> Issue Type: New Feature
> Components: Library / Machine Learning
> Reporter: Till Rohrmann
> Assignee: Daniel Blazevski
> Priority: Major
> Labels: ML, pull-request-available
>
> kNN is still a widely used algorithm for classification and regression. However, due to the computational costs of an exact implementation, it does not scale well to large amounts of data. Therefore, it is worthwhile to also add an approximative kNN implementation as proposed in [1,2]. Reference [3] is cited a few times in [1], and gives necessary background on the z-value approach.
> Resources:
> [1] https://www.cs.utah.edu/~lifeifei/papers/mrknnj.pdf
> [2] http://www.computer.org/csdl/proceedings/wacv/2007/2794/00/27940028.pdf
> [3] http://cs.sjtu.edu.cn/~yaobin/papers/icde10_knn.pdf
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