Truncated SVD
Summary
An accessible technical post explaining SVD and PCA, then exploring truncated SVD with a 1024x1024 moon image. It demonstrates how keeping only the top singular values reconstructs the image with decreasing error, and discusses practical uses like data compression and low-rank approximation, plus implementation notes.