基于支持矢量机和决策树的多值分类器  

Muti-class Classifier Based on Support Vector Machine and Decision Tree

作　　者：宋辛科[1] 

机构地区：[1]西安石油大学信息中心,西安710065

出　　处：《计算机工程》2005年第14期174-175,共2页Computer Engineering

摘　　要：基于SVM理论的分类器已经发展为一种通用的二值分类器,但它不适用于多值的场合。该文在分析经典的SVM分类算法和决策树分类算法的基础上,采用了将SVM和二叉决策树结合的方法来实现多类问题的分类,实验表明它与一对一的多值分类器具有相似的分类精度,并比一对一的分类算法具有快的测试速度。Classifier based on SVM theory has been developed as a general-purpose two-class classifier,but it is not suitable for multi-classclassification.Two basic classification algorithms are analyzed and combined into one multi-class classifier.The experimenttal results show that it isgood as ‘one against one’ algorithm in classification preciseness and it has much higher test speed.

关 键 词：支持矢量机 二叉决策树 多值分类器 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]