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.
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。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.
新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。
This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.
在两类分类的基础上介绍了一种基于SVM的多类分类算法———一对一分类法，并将其用于中国茶叶的分类。
In the real world most of the data is multi-class data, so the simple SVM need for further expansion, so that it can solve the multi-value classification.
而现实世界中的大部分数据都是多类数据，所以需要对简单支持向量机作进一步扩展，使之能解决多值分类问题。
In the real world most of the data is multi-class data, so the simple SVM need for further expansion, so that it can solve the multi-value classification.
而现实世界中的大部分数据都是多类数据，所以需要对简单支持向量机作进一步扩展，使之能解决多值分类问题。
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