Linear Algebra, Python, Matrix Factorization, Numpy.
columns of U, first k rows of Vᵀ and the k x k diagonal matrix holding those largest singular values) . Say I have this picture, represented as a 200x200 np.array, and choose k=60. By calculating the SVD of this matrix, and then using only 30% of the data in each orthogonal matrix, and 30% of the