基于Matlab的主成分分析方法(PCA)的实现

Implementation of principal components analysis method based on Matlab

由于入侵检测数据集中的信息均为高维特征向量,因此需要在大规模的分类识别过程中解决特征提取问 题．本文基于Matlab工具,采用主成分分析(PCA)方法较好地解决了这一问题．

The data in intrusion detection information sets are all characteristic vector of high dimension,so the problem of character extraction is needed to be solved in large scale classification and recognition procedure. In this paper, principal components analysis (PCA) arithmetic is used to deal with this problem.