[R] Solving Classification problems in R

[Luca Cerone]

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 at 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 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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