Machine Learning, Data Science, Linear Algebra, Compression, Singular Values.
top r most important singular values to be non-zero snew = np.zeros((u.shape[0], vh.shape[1])) for i in range(r): snew[i, i] = s[i] # Get the rank r approximation imgnew rank_r_approx = u @ snew @ vh return rank_r_approx Let’s use the above code to compress the image below: Credit: