用来进行主成分分析，实现数据压缩功能，也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification

主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.

主分量分析 和 核主分量分析的 原理简介，主分量分析（PCA）用于对信号进行特征提取和降维-Introduction of the principle of the principal component analysis and kernel principal component analysis, principal component analysis (PCA) for feature extraction and dimensionality reduction of signal

是学习PCA特征提取的很好的学习资料，包括面积、周长、矩形度、伸长度，多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, Including the area, perimeter, rectangular, elongation, Principal component analysis of multivariate data analysis projection.