Non-negative matrix factorization: Difference between revisions

Revision as of 13:54, 2 October 2006

Revision as of 19:58, 3 December 2006

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In this simple case it will just correspond to a scaling and a [[permutation]].

More control over the non-uniqueness of NMF is obtained with sparsity contraintsconstraints<ref>Julian Eggert, Edgar Körner, "[http://dx.doi.org/10.1109/IJCNN.2004.1381036 Sparse coding and NMF]", ''Proceedings. 2004 IEEE International Joint Conference on Neural Networks, 2004., pp. 2529-2533, 2004.</ref>.

== Sources and external links ==