Machine Learning, Python, Programming, Data Science, Editors Pick.
scaled by the corresponding σ, we get the next best rank-i approximation of the data matrix A. Indeed, that is another excellent application of the SVD — data compression. But that is a subject for another writing. Image reconstruction using SVD’s U, Σ, and Vᵀmatrices. Using the first 256 singular