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.

用于主成分分析（PCA）,包括，原变量相关系数矩阵的特征向量和特征值的求解，主成分的提取，载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues ​ ​ of the solution, the main component of the extract, load value

能量熵的计算，小波包分析提取振动信号中的特征频率，借鉴了主成分分析算法（PCA）。- Energy entropy calculation, Wavelet packet analysis to extract vibration signal characteristic frequency, It draws on principal component analysis algorithm (PCA).