Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction

matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest

Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of

人脸识别的Fisher线性判别分析，可在MATLAB直接运行-Fisher linear discriminant analysis for face recognition, can be run directly in MATLAB