一种处理较大规模数据分类的支持向量机

Method of support vector machine to solve large-scale data set classification

对支持向量分类机中的一些基本方法作出详细地介绍,并进一步研究了方法的求解与改进。并通过对标准支持向量机的改造考虑了一种改进的方法,并进行相关的理论分析,通过数据实验验证了这种方法比传统的分类机在运算速度上有提高,特别是在处理较大规模的数据集时运算时间的效果更明显。

Some introductions will be made about common methods of Support Vector Machines （SVM） classification.Some improvements also are discussed.Study a method of SVM to solve large-scale data through general SVM.Through theory＇s analysis and data experiment prove that this method raise speed of calculus.Especially,when data set is large-scale this method will be more effective.