Artificial Intelligence, Machine Learning, Data Science, Mathematics, Python.
captures the eigenvectors of this columnwise correlation matrix, and Σ captures the eigenvalues of that correlation matrix. This makes sense because V takes on the shape of the number of columns in both dimensions. So if the input matrix A has 10 columns, V will be a 10 by 10 matrix. So we have