nmf_als.hpp (3)

Classes

class mlpack::amf::NMFALSUpdate

The alternating least square update rules of matrices W and H.

Namespaces

mlpack

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

Author:

Mohan Rajendran

Update rules for the Non-negative Matrix Factorization. This follows a method titled 'Alternating Least Squares' described in the paper 'Positive Matrix Factorization: A Non-negative Factor Model with Optimal Utilization of Error Estimates of Data Values' by P. Paatero and U. Tapper. It uses least squares projection formula to reduce the error value of $ \sqrt{\sum_i \sum_j(V-WH)^2} $ by alternately calculating W and H respectively while holding the other matrix constant.

This file is part of MLPACK 1.0.10.

MLPACK is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with MLPACK. If not, see http://www.gnu.org/licenses/.

Definition in file nmf_als.hpp.

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