利用eof分析方法进行数据的时间序列分析，与主成份分析类似-eof analysis

用MFC实现的数据主成份分析，可以直接在用于工程计算，功能强大-MFC achieved using principal component analysis of data can be directly used in engineering calculation, powerful

基于GM算法和QR分解实现的稳健奇异值分解算法，通过该算法可以获取一个数居阵的稳健方差－协方差阵。在该稳健方差－协方差阵上可以进行诸如，稳健主成份分解、稳健聚类、稳健因子分析等操作。-GM based on QR decomposition algorithm and the realization of the stability of singular value decomposition algorithm, the algorithm can be accessed through a

用matlab编写的实现主成份分析的代码，带有gui界面-Prepared with the matlab implementation of principal component analysis of the code, with a gui interface

主成份分析程序，包含求相关系数矩阵/矩阵对角元素提取、创建对角阵、求特征值和特征向量等函数-Principal component analysis program, including seeking the correlation matrix/matrix diagonal elements extract, create diagonal, find eigenvalues and eigenvectors and other functions