%本m文件實現fisher算法，并對兩個二維正態分布隨機序列
%進行訓練，進而可在屏幕上任意取點，程序可直接顯示點屬
%于第一類還是第二類并著上相應的顏色
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%分別產生x軸和y軸都為正態分布的隨機序列
%假設x軸和y軸序列相互獨立，可產生二維正態分布隨機序列
%w1、w2分別用來保存兩個訓練集的橫坐標和縱坐標
%用normrnd函數產生正態分布函數
%?%normrnd（meanomega[rowcolumn]）
%mean:均值;omega:標準差
%row:產生隨機序列的行數;column:產生隨機序列的列數
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?X1?=?normrnd（4010[2001]）;%產生正態分布函數
?Y1?=?normrnd（4010[2001]）;?
?w1=[X1?Y1];
?X2?=?normrnd（5?10[1001]）;
?Y2?=?normrnd（0?10[1001]）;
?w2=[X2?Y2];
?
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%以下部分為fisher算法的實現
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%計算樣本均值
m1=mean（w1）‘;
m2=mean（w2）‘;
%s1、s2分別代表表示第一類、第二類樣本的類內離散度矩陣
s1=zeros（2）;
[row1colum1]=size（w1）;
for?i=1:row1
?????s1?=?s1?+?（w1（i:）‘-m1）*（w1（i:）‘-m1）‘;
end;
s2=zeros（2）;
[row2colum