摘要
本文分析了现有二类分类支持向量机算法的不足,在此基础上提出了基于类中心和属性权重的二类分类支持向量机算法。实验结果表明该算法可提高分类精度。
A new two-class SVM algorithm which is based on the center of classes and the weight of attributes is shown, after analyzing the deficiencies of two-class SVM algorithms. The result of simulation experiment shows that the algorithm can increase the classification accuracy.
出处
《电脑与电信》
2009年第5期40-41,共2页
Computer & Telecommunication
关键词
支持向量机
类中心
权重
support vector machine center of class
weight of attribute
