I did forget that reading LDA package could also help
Sergio
Il 28/feb/2014 19:39 "Luca Cerone" 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 Cer
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
wrote:
> http://cran
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!
An
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,
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
Focus on MASS, CCA and e1071 packages
Brgds,
Sergio
Il 28/feb/2014 17:47 "Luca Cerone" 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
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
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