On Multiclass Support Vector Machines: One-Against-Half Approach

⎯Support vector machines (SVM) was originally designed for binary classification. SVM has been recently applied to solve multi-class problems. And there lies the unsolving research issues on developing 2-class SVM into multi-class SVM. In this paper, five common multi-class SVMs have been reviewed and a new multi-class SVM has been proposed along with the comparison between the performance of one-against-half method and the other five multi-class SVMs. The experiments proved oneagainst-half method to be a qualified multi-class SVM. Keyword⎯One-against-half method, Support vector machines, Multi-classification. ∗ Corresponding author’s e-mail: s929603@mail.yzu.edu.tw International Journal of Operations Research 1813-713X Copyright © 2009 ORSTW