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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1750) Add canonical correlation analysis (CCA) to machine learning library
Date Mon, 27 Mar 2017 13:11:41 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15943234#comment-15943234
] 

Till Rohrmann commented on FLINK-1750:
--------------------------------------

Alright. Thanks for letting me know :-)

> 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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