mlpack
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randomized_svd.hpp File Reference
#include <mlpack/prereqs.hpp>
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Classes

class  mlpack::svd::RandomizedSVD
 Randomized SVD is a matrix factorization that is based on randomized matrix approximation techniques, developed in in "Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions". More...
 

Namespaces

 mlpack
 Linear algebra utility functions, generally performed on matrices or vectors.
 

Detailed Description

Author
Marcus Edel

An implementation of the randomized SVD method.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.