Data Science, Linear Algebra, Mathematics, Basics.
matrix that transforms a group of vectors to new space. Let’s define the original orthogonal vectors as “v”s and the transformed orthogonal vectors as “u”s. At last, let’s normalize the transformed matrix so that it becomes easier to handle the results. As a matter of fact, this is what SVD is