I see that index is giving me the group for the classification problem.
But my problem is not the same. I had a sample X<-rnorm(1000) for example.
I don't want to make classification (i have only one group in fact) but i
want to estimate the density which generates my sample (like i can do with
svm() in the e1071 package is an interface to the libsvm code. Look at the
link provided in the help page for that function. You will have to read up how
density estimation is achieved via one-class SVM.
Andy
From: excalibur
>
> In the R-help of the svm function of the package e1071 it's
>
On May 5, 2009, at 3:49 AM, excalibur wrote:
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
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 sam
This question is still unanswered.
Someone can explain me how use the svm function to make density estimation ?
Thanks ...
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$SV are
On May 4, 2009, at 8:52 AM, excalibur wrote:
This question is still unanswered.
Unanswered questions are often those which do not comply with the
guidelines in the Posting Guide. Many people have gotten tired of
either making up examples or of writing "Read the Posting Guide", so
they
Hi,
i try to use function svm of package e1071 to estimate a density.
But if my data are X=(X1,...,Xn) and m<-svm(X) some values of m$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
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