一种新的多类支持向量机算法  

New multi-class SVM algorithm based on one-class SVM

作　　者：刘硕明 刘佳[2] 杨海滨[2] 

机构地区：[1]武警北京总队医院信息科,北京100027 [2]武警工程学院网络与信息安全武警部队重点实验室,西安710086

出　　处：《计算机应用》2008年第S2期86-88,共3页journal of Computer Applications

摘　　要：提出了一种新的多类支持向量机算法OC-K-SVM。对k类分类问题,该方法构造了k个分类器,每一个分类器只对一类样本进行训练。使用Benchm ark的数据集进行了初步的实验,实验结果验证了算法的有效性。A new support vector algorithm called OC-K-SVM for multi-class classification based on one-class SVM was proposed.For k-class problem,k classifiers were constructed,and each one was trained on data from one class.In addition,the proposed algorithm was tested on several benchmark data sets,and confirms its effectiveness.

关 键 词：支持向量机 一类支持向量机 多类支持向量机 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]