caret has recursive feature and simple feature filters. I've got some genetic algorithm code (using the GA package).
CORElearn also has the relief algorithm and a lot of different measures of feature importance. Max On Mar 13, 2013, at 3:57 AM, "C.H." <chainsawti...@gmail.com> wrote: > FSelector > > Maybe chi-sq is a good starting point. > > On Wed, Mar 13, 2013 at 2:02 PM, Venkata Satish Basva > <venkat.satish2...@gmail.com> wrote: >> Hi, >> I am doing a project on authorship attribution, where my term document >> matrix has around 10450 features. >> Can you please suggest me a package where I can find the feature selection >> function to reduce the dimensions. >> >> Regards, >> Venkata Satish Basva >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
