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Reference.org
Two-dimensional singular-value decomposition
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<p>In <a href="/facts/Linear_algebra/8VaB4VWk">linear algebra</a>, two-dimensional singular-value decomposition (2DSVD) computes the <a href="/facts/Low_rank_approximation/qj1Wq2FE">low-rank approximation</a> of a set of <a href="/facts/Matrix_(mathematics)/qa8FI4ko">matrices</a> such as <a href="/facts/Two_dimensional/f4b397W8">2D</a> images or weather maps in a manner almost identical to SVD (<a href="/facts/Singular-value_decomposition/8t3v6wk3">singular-value decomposition</a>) which computes the low-rank approximation of a single matrix (or a set of 1D vectors). </p>