Support Vector Machines in<i>R</i>

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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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Face and Expression Recognition Neural Networks and Applications Anomaly Detection Techniques and Applications

Publication Details

Published in: Journal of Statistical Software

Volume 15, Issue 9

DOI: 10.18637/jss.v015.i09

Field-Weighted Citation Impact: 6.62

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Support Vector Machines in<i>R</i>

Authors

Abstract

Topics & Keywords

Publication Details