计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (31): 135-137.

• 数据库、信号与信息处理 • 上一篇    下一篇

多分类问题的凸包收缩方法

李雪辉,魏立力   

  1. 宁夏大学 数学计算机学院,银川 750021
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-11-01 发布日期:2011-11-01

Multi-classification algorithm based on contraction of closed convex hull

LI Xuehui,WEI Lili   

  1. School of Mathematics and Computer Science,Ningxia University,Yinchuan 750021,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-11-01 Published:2011-11-01

摘要: 在最大边缘线性分类器和闭凸包收缩思想的基础上,针对二分类问题,通过闭凸包收缩技术,将线性不可分问题转化为线性可分问题。将上述思想推广到解决多分类问题中,提出了一类基于闭凸包收缩的多分类算法。该方法几何意义明确,在一定程度上克服了以往多分类方法目标函数过于复杂的缺点,并利用核思想将其推广到非线性分类问题上。

关键词: 支持向量机, 多分类, 闭凸包

Abstract: According to the maximal margin linear classifier and the contraction of closed convex hull,2-classification linearly non-separable problem can be transformed to linearly separable problem by using proposed contraction methods of closed convex hull.Multi-classification problem can be solved by contracting closed convex,and multi-classification algorithm based on the contraction of closed convex hull is presented.The geometric meaning of optimization problem is obvious.The shortcomings of complicated objective function in multi-classification are overcame,nonlinear separable multi-classification problem can be solved using kernel method.

Key words: Support Vector Machine(SVM), multi-classification, closed convex hull