[
https://issues.apache.org/jira/browse/FLINK-1750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14558891#comment-14558891
]
Ajay Bhat commented on FLINK-1750:
----------------------------------
I'd like to take up this issue, since the linear models seem to be nearly done.
Does this have to be a Transformer?
> 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]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
