Question: how is svd used in pca?
Answer: SVD gives you the whole nine-yard of diagonalizing a matrix into special matrices that are easy to manipulate and to analyze. It lay down the foundation to untangle data into independent components. ... Obviously, we can use SVD to find PCA by truncating the less important basis vectors in the original SVD matrix.