Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
of A transpose A, and V are the eigenvectors. And notice a more important fact — A could be any vector. That includes our data vector X at the beginning of this article. Remember that X transpose X over N for the covariance matrix? Well, computing the SVD automatically calculates the eigenvectors