bayesianclassifier20group.m

贝叶斯分类实验 模式识别课程实验所用的源程序

% M-file function, BayesianClassifier20Group.m 

% 对BayesianClassifier调用20次,也就是做1000次实验,记录总数

% g1 输入的样本数
% g2 输入样本矩阵（n行4列）
% n
% P1
% P2

% c11
% c12
% c21
% c22

function [c11,c12,c21,c22] = BayesianClassifier20Group(g1,g2,n1,n2,P1,P2)

c11 = 0;
c12 = 0;
c21 = 0;
c22 = 0;
for k = 1:20
    [c11_temp,c12_temp,c21_temp,c22_temp] = BayesianClassifier(g1,g2,n1,n2,P1,P2); 
    c11 = c11 + c11_temp;
    c12 = c12 + c12_temp;
    c21 = c21 + c21_temp;
    c22 = c22 + c22_temp;
end