一种快速支持向量机分类算法

A Fast Classification Algorithm of Support Vector Machines

提出了一种提高分类速度的快速支持向量机分类算法,利用核函数矩阵的行向量集中的极大线性无关向量组采用变换的方式,用少量的支持向量代替全部支持向量进行分类计算,在保证分类精度的前提下使得分类速度有较大提高.

In this paper is proposed a fast classification alogorithm of support vector machines.After the transformation on the maximum linear independence vector group in the kernel function matrix,a subset of support vectors,which contains fewer support vectors,is used in classification.