Machine Learning, Linear Algebra, Eigenvectors, Eigenvalue, Mathematics.
used in Principal Component Analysis, [3]). Under this convention, the eigendecomposition is unique only if the eigenvalues are unique. The matrix is singular only if any one of the eigenvalues is zero. A matrix with all positive eigenvalues is called a positive definite matrix for which f(x) > 0