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@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. > > -- View this message in context: http://www.nabble.com/Support-Vector-Machines-tp19069442p23382683.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
