Machine Learning, Linear Algebra.
itself and A (and obtaining the covariance matrix AA^T) or by applying A to its transpose (A^TA) the result is a real symmetric matrix! Therefore we can decompose it using Eigendecomposition as shown in section 1. Eigendecomposition of AA^T Eigendecomposition of A^TA From the above we extract the