线性主元分析，用于数据降维及压缩，分析数据组成成分-principal component analysis

一种新的主元分析降维方法，PCA特征矩阵与相关系数法相结合，结合系数通过归一化方法求出同时满足贡献率与相关性分析的特征变量-a new strategy of PCA dimensionality reduction .the combination of PCA with Correlation coefficient，Feature variable is adappted to Correlation coefficient analysis and contribution rate