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一种新的二叉树SVM多分类算法
引用本文:刘海涛,黄敏,朱启兵.一种新的二叉树SVM多分类算法[J].江南大学学报(自然科学版),2009,8(2).
作者姓名:刘海涛  黄敏  朱启兵
作者单位:江南大学,通信与控制工程学院,江苏,无锡,214000
摘    要:在二叉树结构支持向量机(SVM)多分类算法的基础上,针对二叉树算法中点和叶盲目划分的问题,提出了一种新的二叉树SVM多分类算法.该算法通过标记划分的方法,一方面解决了盲目划分的问题,另一方面大大减少了子分类器的数目,大幅度提高了算法的速度.实验结果表明,该算法具有一定的优越性.

关 键 词:二叉树  支持向量机  分类器  标记划分

A New Multi-Class SVM Method Based on Binary Tree
LIU Hai-tao,HUANG Min,ZHU Qi-bing.A New Multi-Class SVM Method Based on Binary Tree[J].Journal of Southern Yangtze University:Natural Science Edition,2009,8(2).
Authors:LIU Hai-tao  HUANG Min  ZHU Qi-bing
Institution:School of Communication and Control Engineering;Jiangnan University;Wuxi 214000;China
Abstract:After studying the multi-class SVM methods based on binary tree,we propose a new multi-class SVM methods based on binary tree.This approach uses the method of tag and division and focuses on solving the problem of division the dot and the leaf blindly.It has also greatly reduced the numbers of classifier and substantially increased the speed of the algorithm.Finally,we compare the new classification algorithms with other methods.The numerical experiment results show that the multi-class SVM methods are suit...
Keywords:binary tree  SVM  Classifier  tag and division  
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