A new multi-class support vector machines
Xin Dong, Zhaohui Wu, Pan Yunhe · 2002
A new classification using support vectors is presented. Support vector machines that learn classification problem are specific to use hyperplane. We propose a novel approach that contains support vectors describing the hypersphere to separate the samples. We also generalize it in multi-class classification phrase. The experiment results on UCI datasets are presented.