Matrix Factorization and Latent Semantic Indexing SVD SVD example Let A=0 1 Thus M=3, N=2. Its svd is 攻x之 Typically, the singular values arranged in decreasing orderMatrix Factorization and Latent Semantic Indexing 18 SVD example Let           − = 1 0 0 1 1 1 A Thus M=3, N=2. Its SVD is         −                   − − 1/21/2 1/21/2 00 03 10 1/21/61/3 1/21/61/3 02/61/3 Typically, the singular values arranged in decreasing order. SVD