文件名称:Fisher-linear-discriminant-method
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此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。
全部程序流程如下:
1、读取FAMALE.TXT文件把身高或体重给数组,并求x1的样本均值m1和内离散度S1;
2、读取MALE.TXT文件把身高或体重给数组,并求x2的样本均值m2和内离散度S2;
3、求最佳变换向量和阀值点;
4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M;
5、把最佳变换向量和阀值点、x代入判别方程g(x);
6、对本判别的错误率进行统计。-This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics .
All program flow is as follows :
1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1
2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2
3 , for the best transformation vector and the threshold point
4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M
5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x)
6 , determine the error rate of the statistics .
全部程序流程如下:
1、读取FAMALE.TXT文件把身高或体重给数组,并求x1的样本均值m1和内离散度S1;
2、读取MALE.TXT文件把身高或体重给数组,并求x2的样本均值m2和内离散度S2;
3、求最佳变换向量和阀值点;
4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M;
5、把最佳变换向量和阀值点、x代入判别方程g(x);
6、对本判别的错误率进行统计。-This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics .
All program flow is as follows :
1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1
2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2
3 , for the best transformation vector and the threshold point
4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M
5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x)
6 , determine the error rate of the statistics .
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下载文件列表
Fisher.m
MALE.TXT
test1.txt
test2.txt
FEMALE.TXT
Fisher.asv
MALE.TXT
test1.txt
test2.txt
FEMALE.TXT
Fisher.asv