Mathematics, Linear Algebra, Machine Learning, Data Science.
σi​ is the ith singular value from Σ:k,:k​. vi​ is the ith row of V:k,:T​. This representation helps understand how the approximation captures the main patterns in the data while using a reduced number of terms. In other terms, if you truncate the SVD at an intermediate value k (where k<r, r being