https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/nmf.py#L346
References
----------
This implements
C.-J. Lin. Projected gradient methods
for non-negative matrix factorization. Neural
Computation, 19(2007), 2756-2779.
http://www.csie.ntu.edu.tw/~cjlin/nmf/
P. Hoyer. Non-negative Matrix Factorization with
Sparseness Constraints. Journal of Machine Learning
Research 2004.
On Wed, Jun 25, 2014 at 4:39 PM, Vamsi Krishna Potluru <
vamsi.potl...@rutgers.edu> wrote:
> Yes, thats a different sparse model than the one in Hoyer, 2004 (most
> likely the one by Kim and Park).
> Maybe, Vlad or someone else can comment on that.
>
> ~Vamsi.
>
>
> On Wed, Jun 25, 2014 at 10:15 AM, Alexandre Gramfort <
> alexandre.gramf...@telecom-paristech.fr> wrote:
>
>> hi,
>>
>> have you played with the sparseness parameter of the NMF estimator?
>>
>> Alex
>>
>>
>> On Wed, Jun 25, 2014 at 3:42 PM, Vamsi Krishna Potluru
>> <vamsi.potl...@rutgers.edu> wrote:
>> > Hello,
>> >
>> > I have worked a bit on the sparse NMF model proposed by Hoyer [1]. The
>> > paper is mentioned in the Scikits NMF module but AFAIK the model is
>> > currently not implemented. Recently, we proposed an efficient algorithm
>> > based on block coordinate descent [2]. A reference python
>> implementation is
>> > available at:
>> >
>> > https://github.com/ismav/sparseNMF
>> >
>> > Kindly let me know if this would be of interest to the Scikits-learn
>> > community.
>> >
>> > Thanks,
>> >
>> > ~Vamsi.
>> >
>> >
>> > [1] Hoyer, P. O. (2004). Non-negative Matrix Factorization with
>> Sparseness
>> > Constraints. Journal of Machine Learning Research, 5, 1457-1469.
>> >
>> > [2] Block Coordinate Descent for Sparse NMF
>> >
>> > Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A.
>> Pearlmutter,
>> > Vince D. Calhoun, Thomas P. Hayes. ICLR 2013.
>> >
>> > http://arxiv.org/abs/1301.3527
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> > Open source business process management suite built on Java and Eclipse
>> > Turn processes into business applications with Bonita BPM Community
>> Edition
>> > Quickly connect people, data, and systems into organized workflows
>> > Winner of BOSSIE, CODIE, OW2 and Gartner awards
>> > http://p.sf.net/sfu/Bonitasoft
>> > _______________________________________________
>> > Scikit-learn-general mailing list
>> > Scikit-learn-general@lists.sourceforge.net
>> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>> >
>>
>>
>> ------------------------------------------------------------------------------
>> Open source business process management suite built on Java and Eclipse
>> Turn processes into business applications with Bonita BPM Community
>> Edition
>> Quickly connect people, data, and systems into organized workflows
>> Winner of BOSSIE, CODIE, OW2 and Gartner awards
>> http://p.sf.net/sfu/Bonitasoft
>> _______________________________________________
>> Scikit-learn-general mailing list
>> Scikit-learn-general@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>
>
>
>
> ------------------------------------------------------------------------------
> Open source business process management suite built on Java and Eclipse
> Turn processes into business applications with Bonita BPM Community Edition
> Quickly connect people, data, and systems into organized workflows
> Winner of BOSSIE, CODIE, OW2 and Gartner awards
> http://p.sf.net/sfu/Bonitasoft
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
Open source business process management suite built on Java and Eclipse
Turn processes into business applications with Bonita BPM Community Edition
Quickly connect people, data, and systems into organized workflows
Winner of BOSSIE, CODIE, OW2 and Gartner awards
http://p.sf.net/sfu/Bonitasoft
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
