机器学习代写｜Fundamentals of Machine Learning Exercise 8
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First load the dataset and import scikit-learn’s decomposition module:
import math
import matplotlib . pyplot as plt
import numpy as np
from sklearn . datasets import load_digits
digits = load_digits ()
Use the decomposition module to compare non-negative matrix factorization (NMF) with singular
value decomposition (SVD, np.linalg.svd) on the digits dataset where the methods factorize X
(the matrix of flattened digit images) in the following way:
