Support Vector Machines in R

Alexandros Karatzoglou, David Meyer and Kurt Hornik

Journal of Statistical Software, 2006, vol. 015, issue i09

Abstract: Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language. Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations.

Date: 2006-04-06
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:015:i09

DOI: 10.18637/jss.v015.i09

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