Thanks for the advices Sergio and Jean-Olivier. Of course I forgot, but I am interested in supervised classification! I'll go through the packages you suggested to me! Any ideas for Neural Networks and Random Forests instead?
Luca Cerone Tel: +34 692 06 71 28 Skype: luca.cerone On Fri, Feb 28, 2014 at 6:01 PM, JiHO <jo.li...@gmail.com> wrote: > Do you mean supervised or unsupervised classification. > > If supervised, I have had great success using gradient boosted > classification in package gbm. multinomial distribution will get you > multiple classes and it will select relevant predictors by itself > given the training data. > > Not sure about the customized cost functions > > Jean-Olivier Irisson > — > Université Pierre et Marie Curie > Laboratoire d'Océanographie de Villefranche > 181 Chemin du Lazaret 06230 Villefranche-sur-Mer > Tel: +33 04 93 76 38 04 > Mob: +33 06 21 05 19 90 > http://www.obs-vlfr.fr/~irisson/ > Send me large files at: http://www.obs-vlfr.fr/~irisson/upload/ > > On Fri, Feb 28, 2014 at 5:53 PM, Sergio Fonda <sergio.fond...@gmail.com> > wrote: >> Focus on MASS, CCA and e1071 packages >> Brgds, >> Sergio >> Il 28/feb/2014 17:47 "Luca Cerone" <luca.cer...@gmail.com> ha scritto: >> >>> Dear all, >>> I would like some advices on R packages to solve classification problems. >>> I have tried to search among the Task views, but couldn't find anything. >>> >>> Can somebody recommend me some packages? >>> >>> Some of the features I am looking for: >>> - deal with multiple classes >>> - use customized cost functions >>> - perform features/predictors selection >>> >>> Any hint would be greatly appreciated, >>> thanks a lot in advance for the help! >>> Cheers, >>> Luca >>> >>> ______________________________________________ >>> 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. >>> >> >> [[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.