LDA人脸识别地matlab程序.doc

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LDA人脸识别的matlab程序
以下是LDA的m文件函数：
你稍稍改改就能用了！
function [eigvector, eigvalue, elapse] = LDA(gn
% step. The percentage is
% calculated based on the
% eigenvalue. Default is 1
% (100%, all the non-zero
% eigenvalues will be kept.
% If PCARatio > 1, the PCA step
% will keep exactly PCARatio principle
% ponents (does not exceed the
% exact number of non-zero ponents).
%
%
% Output:
% eigvector - Each column is an embedding function, for a new
% data point (row vector) x, y = x*eigvector
% will be the embedding result of x.
% eigvalue - The sorted eigvalue of LDA eigen-problem.
% elapse - Time spent on different steps
%
% Examples:
%
% fea = rand(50,70);
% gnd = [ones(10,1);ones(15,1)*2;ones(10,1)*3;ones(15,1)*4];
% options = [];
% = 1;
% [eigvector, eigva