In this study, inequality distance hyperplane multiclass support vector machines (IDH-MSVM) algorithm is proposed on the basis of multiclassification support vector machine (MSVM) which was proposed by J. Weston and C. Watkins in 1999. It only needs to solve a single objective optimization problem to deal with multiclassification problems. For original MSVM, the hyperplane distance refers to the classification interval between classical margin and hyperplane, which is equality. However, the IDH-MSVM introduces parameters to adjust distance between every classification hyperplane and classical margin, which makes the hyperplane distance inequality. The effectiveness of the proposed method is experimented on UCI standard data sets and compared with several multiclassification algorithms. Experimental results show that this method has a better classification effect on multiclassification data.

中文翻译：

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不等距离超平面多类支持向量机

本研究在 J. Weston 和 C. Watkins 于 1999 年提出的多分类支持向量机 (MSVM) 的基础上提出了不等距离超平面多类支持向量机 (IDH-MSVM) 算法。单目标优化问题来处理多分类问题。对于原始MSVM，超平面距离是指经典边缘和超平面之间的分类间隔，即相等。然而，IDH-MSVM 引入了参数来调整每个分类超平面与经典边缘之间的距离，这使得超平面距离不等式。该方法的有效性在 UCI 标准数据集上进行了实验，并与几种多分类算法进行了比较。