fisher分类器 matlab实现

%本m文件实现fisher算法，并对两个二维正态分布随机序列
%进行训练，进而可在屏幕上任意取点，程序可直接显示点属
%于第一类还是第二类并着上相应的颜色
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%分别产生x轴和y轴都为正态分布的随机序列
%假设x轴和y轴序列相互独立，可产生二维正态分布随机序列
%w1、w2分别用来保存两个训练集的横坐标和纵坐标
%用normrnd函数产生正态分布函数
% %normrnd（meanomega[rowcolumn]）
%mean:均值;omega:标准差
%row:产生随机序列的行数;column:产生随机序列的列数
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 X1 = normrnd（4010[2001]）;%产生正态分布函数
 Y1 = normrnd（4010[2001]）; 
 w1=[X1 Y1];
 X2 = normrnd（5 10[1001]）;
 Y2 = normrnd（0 10[1001]）;
 w2=[X2 Y2];
 
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%以下部分为fisher算法的实现
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%计算样本均值
m1=mean（w1）‘;
m2=mean（w2）‘;
%s1、s2分别代表表示第一类、第二类样本的类内离散度矩阵
s1=zeros（2）;
[row1colum1]=size（w1）;
for i=1:row1
     s1 = s1 + （w1（i:）‘-m1）*（w1（i:）‘-m1）‘;
end;
s2=zeros（2）;
[row2colum