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» Document clustering using nonnegative matrix factorization
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BMCBI
2006
166views more  BMCBI 2006»
13 years 8 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 8 months ago
Clustering of scientific citations in Wikipedia
The instances of templates in Wikipedia form an interesting data set of structured information. Here I focus on the cite journal template that is primarily used for citation to art...
Finn Årup Nielsen
ICONIP
2007
13 years 10 months ago
Sparse Super Symmetric Tensor Factorization
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
ECML
2005
Springer
13 years 10 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
CORR
2010
Springer
200views Education» more  CORR 2010»
13 years 8 months ago
A Multilevel Approach For Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
Nicolas Gillis, François Glineur