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of Vᵀ, and scale the resulting matrix by the corresponding σ value, we will get the best rank-1 approximation of A in terms of least squares. Rank-n approximations for the input matrix (an image) Afor various ranks — Image by Author And as we continue combining the columns of U with rows of Vᵀ,