flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Daniel Blazevski (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1934) Add approximative k-nearest-neighbours (kNN) algorithm to machine learning library
Date Tue, 17 Jan 2017 15:53:26 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1934?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15826287#comment-15826287
] 

Daniel Blazevski commented on FLINK-1934:
-----------------------------------------

Last update was that I made a pull request for this last summer

https://github.com/apache/flink/pull/2050


> 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: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Daniel Blazevski
>              Labels: ML
>
> 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



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message