After one month I'd like to know if this new feature is interesting for Mahout, or I didn't get any reply because nobody noticed it. If it is not good enough I could first publish it on github on my account.
2013/3/6 Claudio Reggiani (JIRA) <j...@apache.org> > Claudio Reggiani created MAHOUT-1152: > ---------------------------------------- > > Summary: mRMR feature selection algorithm > Key: MAHOUT-1152 > URL: https://issues.apache.org/jira/browse/MAHOUT-1152 > Project: Mahout > Issue Type: Improvement > Components: Integration > Affects Versions: 0.7 > Reporter: Claudio Reggiani > Priority: Minor > Fix For: 0.8 > > > Proposal Title: mRMR Feature Selection Algorithm on Map-Reduce. > > Student Name: Claudio Reggiani > > Student E-mail: nop...@gmail.com > > 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 > > -- > This message is automatically generated by JIRA. > If you think it was sent incorrectly, please contact your JIRA > administrators > For more information on JIRA, see: http://www.atlassian.com/software/jira >
