Support Vector Machine
The simplest to use is probably svm() in package e1071 or svmlight() in klaR, both interfaces to well respected SVM code (but e1071 includes the C++ code it uses). See also
help.search("support vector")
MAclinical::svm_x Classification based on support vector machines
using microarray data only
ROCR::ROCR.hiv Data set: Support vector machines and neural
networks applied to the prediction of HIV-1
coreceptor usage
chemometrics::svmEval Support Vector Machine evaluation by CV
e1071::predict.svm Predict Method for Support Vector Machines
e1071::svm Support Vector Machines
kernlab::ksvm Support Vector Machines
kernlab::lssvm Least Squares Support Vector Machine
kernlab::plot.ksvm plot method for support vector object
kernlab::predict.ksvm predict method for support vector object
klaR::predict.svmlight
Interface to SVMlight
klaR::svmlight Interface to SVMlight
rattle::ISO_8601_to_POSIX_datetime_format
Interal Rattle user interface callbacks.
svcR::findModelCluster
Computation of clustering model by support
vector machine
CMA::svmCMA-methods Support Vector Machine
CMA::svmCMA Support Vector Machine
on my server.
On Mon, 23 Feb 2009, Crouch, Daniel wrote:
Hi, I use ksvm() in the kernlab package. If I recall correctly it's quite easy to implement, and has a choice of different kernals. Dan Daniel Crouch Research Student Department of Medical & Molecular Genetics King's College London 8th Floor, Tower Wing Guy's Hospital London SE1 9RT United Kingdom
________________________________________
From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of Meir Preiszler [pmeir at Itamar-Medical.com]
Sent: 23 February 2009 15:16
To: r-help at r-project.org
Subject: [R] Support Vector Machine
Hi,
I would like to try using a Support Vector Machine on a classification
problem that I'm dealing with. Does such a package exit in R?
Thanks
Meir
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