Linear Algebra, Mathematics, Math, Principal Component, Python.
lies in a low-dimensional subspace or lies on a low-dimensional manifold). Principal component analysis is handy for eliminating dimensions. Classical PCA seeks the best rank-k estimate L of M (minimizing||M-L|| where L has rank-k). Truncated SVD makes this calculation! Traditional PCA can handle