| 基于二叉树的SVM多类分类算法研究 |
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| 引用本文： | 王晓锋,秦玉平. 基于二叉树的SVM多类分类算法研究[J]. 湖南工程学院学报(自然科学版), 2008, 18(3): 68-70 |
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| 作者姓名： | 王晓锋 秦玉平 |
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| 作者单位： | 1. 渤海大学数学系,辽宁,锦州,121013
2. 渤海大学信息科学与工程学院,辽宁,锦州,121013 |
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| 摘 要： | 支持向量机是一种高效的分类识别方法，在解决高维模式识别问题中表现出许多特有的优势.支持向量机本身是一个两类问题的判别方法，不能直接应用于多类问题.介绍了基于二叉树的SVM多类分类算法，通过对其原理和实现方法的分析，对这些方法的优缺点进行了归纳和总结，给出了进一步的研究方向.
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| 关 键 词： | 支持向量机 多类分类 二叉树 |
Research on SVM Multi-class Classification Based on Binary tree |
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| WANG Xiao-feng,QIN Yu-ping. Research on SVM Multi-class Classification Based on Binary tree[J]. Journal of Hunan Institute of Engineering(Natural Science Edition), 2008, 18(3): 68-70 |
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| Authors: | WANG Xiao-feng QIN Yu-ping |
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| Affiliation: | WANG Xiao-feng, QIN Yu-ping (1. Dept. of Mathematics 2. College of Information Science and Engineering, Bohai University, Jinzhou 121013,China) |
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| Abstract: | SVM is an effective method of learning the classification knowledge from massive data,especially in the situation of high cost in getting labeled classical examples.SVM is used for the binary-class classification.It can't deal with multi-class classification directly.In this paper.some methods for svm multi-class classification based on binary tree are introduced.Their advantages and disadvantages are compared and further research direction is pointed out. |
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| Keywords: | Supprot Vector Machine multi-class classification binary tree |
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