Karhunen-Loève特征变换 模式识别课程实验-Karhunen-Loève transform pattern recognition features of the experimental curriculum

/* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate

主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transfor

通过K-L特征提取实现由六维数据降为三维-Karhunen-Loeve feature extract