Source: wikibot/singular-value-decomposition
= Singular value decomposition
{wiki=Singular_value_decomposition}
Singular Value Decomposition (SVD) is a mathematical technique in linear algebra used to factorize a matrix into three other matrices. It is particularly useful for analyzing and reducing the dimensionality of data, solving linear equations, and performing principal component analysis.