Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
is full-rank (so its rank is 512). Each column of this image is a unique and linearly independent vector of numbers representing pixel intensity in grey scale. What SVD promises is to find new columns of pixels that focus on capturing as much of the variance in the image as possible. That is, with