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
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