Support vector machines in R

Alexandros Karatzoglou, David Meyer, Kurt Hornik

    Publication: Scientific journalJournal articlepeer-review

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    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. (authors' abstract)
    Original languageEnglish
    Pages (from-to)1 - 28
    JournalJournal of Statistical Software
    Volume15
    Issue number9
    Publication statusPublished - 1 Oct 2006

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