Machine Learning, Data Science, Dimensionality Reduction, Svd, Linear Algebra.
is thus redundant i.e. it does not have a lot of unique information. So, it is a low-rank matrix So, a low-rank approximation of M is the background matrix. We use SVD in this step We can obtain the foreground matrix by simply subtracting the background matrix from the matrix M Here is a frame of