I did forget that reading LDA package could also help
Sergio
Il 28/feb/2014 19:39 "Luca Cerone" <luca.cerone@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
> <ripley@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.lists@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.fonda99@gmail.com>
> >>> wrote:
> >>>>
> >>>> Focus on MASS, CCA and e1071 packages
> >>>> Brgds,
> >>>> Sergio
> >>>> Il 28/feb/2014 17:47 "Luca Cerone" <luca.cerone@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,                  ripley@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.
>

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