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Posted to issues@flink.apache.org by "Till Rohrmann (JIRA)" <ji...@apache.org> on 2016/01/15 10:31:40 UTC

[jira] [Updated] (FLINK-1733) Add PCA to machine learning library

     [ https://issues.apache.org/jira/browse/FLINK-1733?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Till Rohrmann updated FLINK-1733:
---------------------------------
    Assignee: Thang Nguyen  (was: Raghav Chalapathy)

> 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: Thang Nguyen
>            Priority: Minor
>              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. A more recent publication [2] describes another scalable PCA implementation.
> Resources:
> [1] [http://arxiv.org/pdf/1408.5823v5.pdf]
> [2] [http://ds.qcri.org/images/profile/tarek_elgamal/sigmod2015.pdf]



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