[R] Re : Support Vector Machines

[justin bem]

there is a SVM function in svmpath by Trevor Hastie. Before use it take time to read this 

http://www-stat.stanford.edu/~hastie/Papers/svmpath.pdf

If you install then svmpath library ! run the attach source file.


Justin BEM
BP 1917 Yaoundé
Tél (237) 99597295
(237) 22040246 




________________________________
De : excalibur <servien.remi12 at yahoo.fr>
À : r-help at r-project.org
Envoyé le : Mardi, 5 Mai 2009, 8h49mn 49s
Objet : Re: [R] Support Vector Machines


In the R-help of the svm function of the package e1071 it's explained that
this function also makes estimation of density.

But when i made for example
X<-rnorm(1000)
m<-svm(X)

I just have a binary classification of X like SVM do whereas i want an
estimation of the density which generates our sample X ...

I don't know if it's possible and if someone has already use this function
to do that.

Thanks.


David Winsemius wrote:
> 
> 
> On May 4, 2009, at 8:52 AM, excalibur wrote:
> 
>>
>> This question is still unanswered.
> 
> Unanswered questions are often those which do not comply with the  
> guidelines in the Posting Guide. Many people have gotten tired of  
> either making up examples or of writing  "Read the Posting Guide", so  
> they just ignore them.
> 
> 
>> Someone can explain me how use the svm function to make density  
>> estimation ?
> 
> If you post an executable bit of code that shows how you are doing  
> those operations, then I suspect someone will answer.
> 
> excalibur wrote:
>>
>>>
>>> Hi,
>>> i try to use function svm of package e1071 to estimate a density.
>>>
>>> But if my data are X=(X1,...,Xn) and m<-svm(X) some values of m$SV  
>>> are
>>> less than 0.
>>> I don't see how i can get the estimation of the density with this
>>> function.
>>>
>>> Thanks for your help.
>>>
>>> Rémi
>>>
> 
> David Winsemius, MD
> Heritage Laboratories
> West Hartford, CT
> 
> ______________________________________________
> 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.
> 
> 

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