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https://issues.apache.org/jira/browse/MAHOUT-1152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13705837#comment-13705837
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Claudio Reggiani commented on MAHOUT-1152:
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I've uploaded the last version of the library on GitHub, fixing some bugs and
providing another feature selection algorithm: Ranking.
> mRMR feature selection algorithm
> --------------------------------
>
> Key: MAHOUT-1152
> URL: https://issues.apache.org/jira/browse/MAHOUT-1152
> Project: Mahout
> Issue Type: Improvement
> Affects Versions: 0.7
> Reporter: Claudio Reggiani
> Priority: Minor
> Labels: algorithm, feature
> Fix For: Backlog
>
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> Proposal Title: mRMR Feature Selection Algorithm on Map-Reduce.
> Student Name: Claudio Reggiani
> Student E-mail: [email protected]
> Proposal Abstract:
> The mRMR algorithm, described in [1], is a feature selection algorithm that
> leverages mutual information evaluation to select features. At each
> iteration, mRMR selects a new feature based on both how much it's strongly
> correlated to the target output and how much it's less correlated to the
> features already selected. The correlation is measured by means of mutual
> information. The project proposes to provide the mRMR algorithm in MapReduce
> programming framework.
> Additional information:
> 1. *The code is already available* with some tests, because I'm working on my
> master thesis an initial milestone of my research was to implement mRMR
> algorithm in MapReduce.
> 2. I'm figuring out if it's possible for me to apply at Google Summer of Code
> 2013.
> References:
> [1] Hanchuan Peng, Fuhui Long, and Chris Ding
> IEEE Transactions on Pattern Analysis and Machine Intelligence,
> Vol. 27, No. 8, pp.1226-1238, 2005.
> Link: http://penglab.janelia.org/papersall/docpdf/2005_TPAMI_FeaSel.pdf
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