Document Detail

Nonsmooth nonnegative matrix factorization (nsNMF).
MedLine Citation:
PMID:  16526426     Owner:  NLM     Status:  MEDLINE    
We propose a novel nonnegative matrix factorization model that aims at finding localized, part-based, representations of nonnegative multivariate data items. Unlike the classical nonnegative matrix factorization (NMF) technique, this new model, denoted "nonsmooth nonnegative matrix factorization" (nsNMF), corresponds to the optimization of an unambiguous cost function designed to explicitly represent sparseness, in the form of nonsmoothness, which is controlled by a single parameter. In general, this method produces a set of basis and encoding vectors that are not only capable of representing the original data, but they also extract highly localized patterns, which generally lend themselves to improved interpretability. The properties of this new method are illustrated with several data sets. Comparisons to previously published methods show that the new nsNMF method has some advantages in keeping faithfulness to the data in the achieving a high degree of sparseness for both the estimated basis and the encoding vectors and in better interpretability of the factors.
Alberto Pascual-Montano; J M Carazo; Kieko Kochi; Dietrich Lehmann; Roberto D Pascual-Marqui
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  28     ISSN:  0162-8828     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  2006 Mar 
Date Detail:
Created Date:  2006-03-10     Completed Date:  2006-03-31     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9885960     Medline TA:  IEEE Trans Pattern Anal Mach Intell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  403-15     Citation Subset:  IM    
Computer Architecture and System Engineering Department, Facultad de Ciencias Físicas, Universidad Complutense, Madrid, Spain.
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MeSH Terms
Artificial Intelligence*
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Electroencephalography / methods*
Face / anatomy & histology*
Image Interpretation, Computer-Assisted / methods*
Pattern Recognition, Automated / methods*
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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