Singular Value Decomposition (SVD)

Eckart-Young Theorem

Theoretical foundation guaranteeing that the best rank-k approximation of a matrix (in terms of the 2-norm or Frobenius norm) is obtained by truncating its SVD decomposition to the k largest singular values.

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