1. Write code that implements the alternating least squares algorithm for finding the non-negative matrix factorization. You can use the function scipy.optimize.nnls (in Python) or 1sqnonneg (in MAT- LAB) to solve the least squares problems arising in each iteration of your algorithm. Use your code to find the NMF of A given below. Include your code and output as your answer. [0.238 0.387 1.065 0.4947 0.345 0.603 1.056 0.512 0.302 0.555 0.59 0.308 0.283 0.473 1.132 0.531 1. Write code that implements the alternating least squares algorithm for finding the non-negative matrix factorization. You can use the function scipy.optimize.nnls (in Python) or 1sqnonneg (in MAT- LAB) to solve the least squares problems arising in each iteration of your algorithm. Use your code to find the NMF of A given below. Include your code and output as your answer. [0.238 0.387 1.065 0.4947 0.345 0.603 1.056 0.512 0.302 0.555 0.59 0.308 0.283 0.473 1.132 0.531