Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
by multiplying the first k columns of U with the upper left k values of 𝝨 and the first k columns of V. Notice we are still creating a 512x512 image but its rank will be k. We expect that the image created, although of lower effective dimension, should approximate the original image well as it