Svd, Latent Semantic Analysis, Text Analytics, Data Science, Development.
real-world scenarios. The SVD presents us a way to generalize the decomposition of a matrix in terms of its eigenvectors and eigenvalues, for every matrix. 🙂 AA^T and A^TA are very special matrices. These are always square and symmetrical, regardless of the A format. Therefore, its often used one