Hello.
My name is Jose.
I'm student of UPV in spain.
I need help for implement the PCA and PLS algotithms trhogth SVD method.
If someone can help me....
The only one that i have is this:
% PCA MEDIANTE SVD
% ENTRADAS
% A Matriz de datos
% SALIDAS
% u
% S
% V
% MATRIZ DE DATOS
A = [1 2;3 4]
% CALCULAMOS EL TAMAÑO DE LA MATRIZ
[M,N] = size(A);
% CALCULO DE LA MEDIA
mn = mean(A,2);
B = A - repmat(mn,1,N);
% CONSTRUCCION DE LA MATRIZ Y
stdA=std(A)
Y = stdA/ sqrt(N-1);
Hello, This is the first time I am trying to use matlab. Since I only have fairly small job to do I am not trying to delve too deep. I have a 5000x5000 matrix like this (just a part...n=till 5000)
1.0 0.2 0.3 0.1.........n
0.2 1.0 0.1 0.3.........n
0.3 0.1 1.0 0.2..........n
... ... ... ...
n n n n
I have been using SpotFire so far for PCA analysis, but this matrix is too huge for its memory, hence trying matlab.
Any help on how i can decompose it into 3 PC's would be greatly appreciated.
Thank you
Hello.
My name is Jose.
I'm student of UPV in spain.
I need help for implement the PCA and PLS algotithms trhogth SVD method.
If someone can help me....
The only one that i have is this:
% PCA MEDIANTE SVD
% ENTRADAS
% A Matriz de datos
% SALIDAS
% u
% S
% V
% MATRIZ DE DATOS
A = [1 2;3 4]
% CALCULAMOS EL TAMAÑO DE LA MATRIZ
[M,N] = size(A);
% CALCULO DE LA MEDIA
mn = mean(A,2);
B = A - repmat(mn,1,N);
% CONSTRUCCION DE LA MATRIZ Y
stdA=std(A)
Y = stdA/ sqrt(N-1);
% APLICAMOS SVD
[u,S,PC] = svd(Y);
% CALCULAMOS LOS OUTPUTS
S = diag(S);
V = S .* S;
Hello, This is the first time I am trying to use matlab. Since I only have fairly small job to do I am not trying to delve too deep. I have a 5000x5000 matrix like this (just a part...n=till 5000)
1.0 0.2 0.3 0.1.........n
0.2 1.0 0.1 0.3.........n
0.3 0.1 1.0 0.2..........n
... ... ... ...
n n n n
I have been using SpotFire so far for PCA analysis, but this matrix is too huge for its memory, hence trying matlab.
Any help on how i can decompose it into 3 PC's would be greatly appreciated.
Thank you
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