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Posted to dev@flink.apache.org by "Till Rohrmann (JIRA)" <ji...@apache.org> on 2015/03/19 12:47:38 UTC

[jira] [Created] (FLINK-1750) Add canonical correlation analysis (CCA) to machine learning library

Till Rohrmann created FLINK-1750:
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             Summary: 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


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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