Dimensionality Reduction - Stanford University

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We cover singular-value decomposition, a more powerful version of UV-decomposition. Finally, because we are always interested in the largest data sizes we can handle, we look at another form of decomposition, called CUR-decomposition, which is a variant of singular-value decomposition that keeps the matrices of the decomposition sparse if the

  Reduction, Value, Singular, Decomposition, Singular value decomposition, Dimensionality, Dimensionality reduction