Journal of Statistical Software (Apr 2006)

Support Vector Machines in R

  • Alexandros Karatzoglou,
  • David Meyer,
  • Kurt Hornik

Journal volume & issue
Vol. 15, no. 9

Abstract

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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.

Keywords