Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
almost represent the covariance matrices of A (row and column covariances, respectively). You will be fully convinced of this in the next section on PCA and covariance matrices. Eigendecomposition of each diagonalizable matrix results in singular vectors and the same singular values (image from