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 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.
Use str() to look at the object returned by svm. The example in svm's
help page uses the svm object's "index" variable although there are
other components that are available for extraction. The "fitted"
vector looks to have similar binary properties to "index" and the "SV"
vector appears to be a distance measure.
--
David
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
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______________________________________________
R-help@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.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@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.
