| 一种新的基于二叉树的SVM多类分类方法 |
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| 引用本文： | 孟媛媛,刘希玉.一种新的基于二叉树的SVM多类分类方法[J].计算机应用,2005,25(11):2653-2654. |
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| 作者姓名： | 孟媛媛 刘希玉 |
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| 作者单位： | 山东师范大学信息管理学院 |
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| 基金项目： | 山东省自然科学基金资助项目（Z2004G02）;山东省中青年科学家奖励基金项目（03BS003）. |
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| 摘 要： | 介绍了几种常用的支持向量机多类分类方法，分析其存在的问题及缺点。提出了一种基于二叉树的支持向量机多类分类方法（BT SVM），并将基于核的自组织映射引入进行聚类。结果表明，采用该方法进行多类分类比1 v r SVMs和1 v 1 SVMs具有更高的分类精度。
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| 关 键 词： | 多类分类 支持向量机 二叉树 自组织映射 |
| 文章编号： | 1001-9081（2005）11-2653-02 |
| 收稿时间： | 2005-05-13 |
| 修稿时间： | 2005-05-132005-07-20 |
A new SVM multiclass classification based on binary tree |
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| MENG Yuan-yuan,LIU Xi-yu.A new SVM multiclass classification based on binary tree[J].journal of Computer Applications,2005,25(11):2653-2654. |
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| Authors: | MENG Yuan-yuan LIU Xi-yu |
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| Affiliation: | College of Information and Management,Shandong Normal University, Jinan Shandong 250014,China |
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| Abstract: | The problems and defections of the existing methods of SVM multi-class classification were analyzed.A multi-class classification based on binary tree was put forward.A modified self-organization map(SOM),KSOM(kernel-based SOM),was introduced to convert the multi-class problem into binary tress,in which the binary decisions were made by SVMs.The results show that it has higher multiclass classification accuracy than the multi-class SVM approaches with "one-versus-one" and "one-versus-the rest". |
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| Keywords: | multi-class classification support vector machine(SVM) binary tree Self-Organization Map(SOM) |
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