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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1733) Add PCA to machine learning library
Date Thu, 07 May 2015 08:43:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14532254#comment-14532254
] 

Till Rohrmann commented on FLINK-1733:
--------------------------------------

Hi [~raghav.chalapathy@gmail.com], how's it going with the PCA implementation? 

If you're working on this issue, then you should set the Status to in progress. 

> Add PCA to machine learning library
> -----------------------------------
>
>                 Key: FLINK-1733
>                 URL: https://issues.apache.org/jira/browse/FLINK-1733
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Raghav Chalapathy
>              Labels: ML
>
> Dimension reduction is a crucial prerequisite for many data analysis tasks. Therefore,
Flink's machine learning library should contain a principal components analysis (PCA) implementation.
Maria-Florina Balcan et al. [1] proposes a distributed PCA.
> Resources:
> [1] [http://arxiv.org/pdf/1408.5823v5.pdf]



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