the pca function normally returns the klt coefficients, I don't seem to understand why you used those coefficients as a kernel and had to multiply them later by the text matrix;
Thanks in advance
Figured out (pca(a',Centered=false)'*a)' in matlab is equivalent to pca.fit_transform in python thus the pca function only returns the kernel and not the projection into the new space
Hey, I might have few questions regarding the code; When computing the KLT coefficients:
KLT_kernel = pca(text_matrix'); klt_coeff = KLT_kernel'*text_matrix;
the pca function normally returns the klt coefficients, I don't seem to understand why you used those coefficients as a kernel and had to multiply them later by the text matrix; Thanks in advance