Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
generalization of the more A = QΛQinv factorization since symmetric matrices have orthogonal (and therefore, orthonormal by dividing by the lengths of each vector) eigenvalues. The inverse of an orthonormal matrix is equal to its transpose. Furthermore, since any symmetric matrix has a full set of