Data Science, Machine Learning, Statistics, Artificial Intelligence.
descending order. We can look at X as a running sum of different matrices. So, let’s approximate the original singular value decomposition (SVD) using the first r-term where r < or = s. In summary: Centralized the data X Compute the below using r-truncated SVD 3. Let the right singular vector Vr be