Journals
Publish with us
Publishing partnerships
About us
Blog
Computational Intelligence and Neuroscience
Journal overview
For authors
For reviewers
For editors
Table of Contents
Special Issues
Computational Intelligence and Neuroscience
/
2008
/
Article
/
Alg 1
/
Research Article
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems
Algorithm 1
(OPL).
Set
A
,
X
, % Initialization
𝜂
𝑗
(
𝑋
)
=
2
(
𝐀
𝑇
𝐀
𝟏
𝐽
)
𝑗
,
For
𝑘
=
1
,
2
,
…
, % Inner iterations for
X
𝐆
𝑋
=
𝐀
𝑇
(
𝐀
𝐗
−
𝐘
)
, % Gradient with respect to
X
𝐗
←
𝑃
Ω
[
𝐗
−
d
i
a
g
{
𝜂
𝑗
}
𝐆
𝑋
]
, % Updating
End