Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
Stanford, and ritvikmath. Finally, since we are talking about compression, how many floats can we save if we represent Lenna with just enough singular components to get a pretty good looking reconstruction? Compressed version at 128 of 512 singular components (left), original version (right) (image