Computational Thinking, Python, Linear Algebra, Math, Mathematics.
the more variance on one of the basis axis. You could keep only this dimension and have a fairly good representation of the data. About the unit norm constraint We saw that the maximization is subject to dd^T = 1. This means that the solution vector has to be a unit vector. Without this constraint,