Machine Learning, Fluid Mechanics, Svd, Data Science, Python.
property of Singular Value Decomposition is that it provides an optimal low-rank approximation of the complex data matrix X. In fact, SVD can offer a hierarchy of low-rank approximations, as the rank of approximation, r, is obtained by retaining the leading r singular values and vectors while