Compare big matrices A ,B

I Have 2 big matrix A, B with the same dimension (mxn) that n>>m. I apply the princomp function on those for computing the principal components because I wanted to reduce those dimension for comparing those with each other. I want to find that which row of those matrices has biggest difference with each other. Is it possible by comparing the angles between the eigenvectors that I computed by the princomp function (principal components of the 2 matrix)?? It really appreciated if you get me some proposal and help. Thank you for your time and help. Kamal

3 comentarios

Jan
Jan el 23 de Nov. de 2013
You "want to find which row has the biggest difference with each other". This seems to imply, that you have to calculate the differences between the rows, not eigen-values, principal components or angles. What does each other mean here?
Image Analyst
Image Analyst el 23 de Nov. de 2013
I agree with Jan - I'm confused too. After you do PCA on A and on B, you'll have two more sets of axes (one for each PC set on A and B) Are you comparing rows of A to rows of A? And same for B? Or are you comparing rows of A to rows of B? Or the angle between PC1 of A with PC2 of A? Or PC1 of A with PC1 of B? Please clarify.
Kamal
Kamal el 23 de Nov. de 2013
Editada: Kamal el 23 de Nov. de 2013
Many thanks for your comments. as I mentioned before, my final goals is comparing the row of A to rows of B. but I want to use the PCA for this goal. How I can? Please note that the each row of both matrices involved the continuous information and there are very noisy. For example the status of first row of A is same as first row of B. Also the status of the second row is same as the second on and so on.... So, I decided to used from the angle of the principal components method for comparing that works for all Matrices.I need to indicate that for example the k-th row is the row with the biggest variation(along the all columns). Is it OK or not? thanks again for your help.

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Image Analyst
Image Analyst el 23 de Nov. de 2013
Editada: Image Analyst el 23 de Nov. de 2013

1 voto

Try this
comparison = abs(A-B);
[maxValue, indexOfMax] = max(comparison);
% Get row and column from linear index.
[row, col] = ind2sub(size(A), indexOfMax);
How does that work for you?

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