Description:
- When some entries of a matrix is unknown
- We can complete it by SVD appoach, make the assumption that the true matrix is low-rank
- Start with a guess for the missing entries (zero; average across columns or rows; etc)
- Find a low-rank approximation of the matrix
- Fill in the missing entries according to the low-rank approximation
- Go to step 2, until convergence