It is a form of truncated SVD that uncovers and displays the rank of the original matrix. This is useful in data analysis, image processing, and machine learning.
It is a form of truncated SVD that uncovers and displays the rank of the original matrix. This is useful in data analysis, image processing, and machine learning.