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基于类半径的多类分类SVM算法
引用本文:张涛,刘长旺.基于类半径的多类分类SVM算法[J].华北水利水电学院学报,2011,32(3):120-122.
作者姓名:张涛  刘长旺
作者单位:南阳师范学院软件学院,河南南阳,473061
摘    要:分析了现有多类分类支持向量机算法的不足,在此基础上提出了基于类半径的多类分类支持向量机算法.这种算法在训练前首先对训练集进行分析,然后用one-class SVM进行分类.试验结果表明,该算法分类精度较高,训练时间短.

关 键 词:支持向量机  多类分类  类半径

Multi-classifying SVM Algorithm Based on Class' s Radius
ZHANG Tao,LIU Chang-wang.Multi-classifying SVM Algorithm Based on Class' s Radius[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2011,32(3):120-122.
Authors:ZHANG Tao  LIU Chang-wang
Affiliation:(Dept.of Software School,Nanyang Normal University,Nanyang 473061,China)
Abstract:After analyzing the deficiencies of multi-classifying SVM algorithms,a new mul ti-clas sifying SVM algorithm based on class's radius was presentedt.The result of simulation experiment shows that the algorithm is of high accuracy and can save training time.
Keywords:support vector machine  multi-classification  class's radius
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