How can I speed up the eigen value and eigen vector computations for a non-sparse matrix?
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I only need the eigen vectors corresponding to the 10 smallest eigen values. I do not want to use eigs because its results can vary. My matrix is 10000 x 10000 in size. I tried the parallel computing toolbox but get an error ""Bad version or endian-key" and somewhere under all the errors it also says Out-of-Memory. I am working with images, hence the size of the matrix.
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