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Singular Value Decomposition (SVD) is the factorization of a matrix (rectangular or square) into the product of the three orthogonal matrices, two of which are

Singular Value Decomposition (SVD) is the factorization of a matrix (rectangular or square) into the product of the three "orthogonal" matrices, two of which are also "orthonormal" and the third is diagonal.

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