文件名称:lda_test
介绍说明－－下载内容均来自于网络，请自行研究使用
Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values- Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values- Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values
(系统自动生成,下载前可以参看下载内容)
下载文件列表
lda_test.m