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
?
Universit? Pierre et Marie Curie
Laboratoire d'Oc?anographie 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 at
gmail.com> wrote:> Focus on MASS, CCA and e1071 packages
> Brgds,
> Sergio
> Il 28/feb/2014 17:47 "Luca Cerone" <luca.cerone at
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
>>
>> ______________________________________________
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>> http://www.R-project.org/posting-guide.html
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>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.