I did forget that reading LDA package could also help Sergio Il 28/feb/2014 19:39 "Luca Cerone" <luca.cer...@gmail.com> ha scritto:
> Now I feel quite stupid :) I was assuming that since there is a > "Clustering" one there would have been a "Classification" one as well > :) > Thanks for pointing it out to me! > Luca Cerone > > Tel: +34 692 06 71 28 > Skype: luca.cerone > > > On Fri, Feb 28, 2014 at 6:38 PM, Prof Brian Ripley > <rip...@stats.ox.ac.uk> wrote: > > http://cran.r-project.org/web/views/MachineLearning.html for a task > view you > > missed. > > > > > > On 28/02/2014 17:10, Luca Cerone wrote: > >> > >> 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. > >> > > > > > > -- > > Brian D. Ripley, rip...@stats.ox.ac.uk > > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > > University of Oxford, Tel: +44 1865 272861 (self) > > 1 South Parks Road, +44 1865 272866 (PA) > > Oxford OX1 3TG, UK Fax: +44 1865 272595 > > ______________________________________________ > 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.
