NAME
src/mlpack/methods/amf/update_rules/nmf_als.hpp -
SYNOPSIS
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
Detailed Description
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 $ qrt{um_i um_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.
Author
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