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Support vector machines in R

Journal of Statistical Software (2006) 15(9) 1-28
DOI: 10.18637/jss.v015.i09
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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.

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APA

Karatzoglou, A., Meyer, D., & Hornik, K. (2006). Support vector machines in R. Journal of Statistical Software, 15(9), 1–28. https://doi.org/10.18637/jss.v015.i09

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