Editing Singular value decomposition (section)

==See also==
{{columns-list|colwidth=22em|
*[[Autoencoder]]
*[[Canonical correlation]]
*[[Canonical form]]
*[[Correspondence analysis]] (CA)
*[[Curse of dimensionality]]
*[[Digital signal processing]]
*[[Dimensionality reduction]]
*[[Eigendecomposition of a matrix]]
*[[Empirical orthogonal functions]] (EOFs)
*[[Fourier analysis]]
*[[Generalized singular value decomposition]]
*[[Singular value#Inequalities about singular values|Inequalities about singular values]]
*[[K-SVD]]
*[[Latent semantic analysis]]
*[[Latent semantic indexing]]
*[[Linear least squares (mathematics)|Linear least squares]]
*[[List of Fourier-related transforms]]
*[[Locality-sensitive hashing]]
*[[Low-rank approximation]]
*[[Matrix decomposition]]
*[[Multilinear principal component analysis]] (MPCA)
*[[Nearest neighbor search]]
*[[Non-linear iterative partial least squares]]
*[[Polar decomposition]]
*[[Principal component analysis]] (PCA)
*[[Schmidt decomposition]]
*[[Smith normal form]]
*[[Singular value]]
*[[Time series]]
*[[Two-dimensional singular-value decomposition]] (2DSVD)
*[[von Neumann's trace inequality]]
*[[Wavelet compression]]
}}