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Posted to issues@flink.apache.org by "Alex De Castro (JIRA)" <ji...@apache.org> on 2017/05/10 10:34:04 UTC
[jira] [Commented] (FLINK-1750) Add canonical correlation analysis
(CCA) to machine learning library
[ https://issues.apache.org/jira/browse/FLINK-1750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16004457#comment-16004457 ]
Alex De Castro commented on FLINK-1750:
---------------------------------------
Hi there, Can I get assigned to this issue?
On a side note, is there or has there been any tickets on wordvectors, or WEM's for the Flink ML lib?
Thanks, Alex
> Add canonical correlation analysis (CCA) to machine learning library
> --------------------------------------------------------------------
>
> Key: FLINK-1750
> URL: https://issues.apache.org/jira/browse/FLINK-1750
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Labels: ML
>
> Canonical correlation analysis (CCA) [1] can be used to find correlated features between two random variables. Moreover, CCA can be used for dimensionality reduction.
> Maybe the work of Jia Chen and Ioannis D. Schizas [2] can be adapted to realize a distributed CCA with Flink.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Canonical_correlation]
> [2] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6810359]
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