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Hybridizing sparse component analysis with genetic algorithms for microarray an...
Stadlthanner, K.; Theis, F. J.; Lang, E. W.; Tomé, A. M.; Puntonet, C. G.; Górriz, J. M.Nonnegative Matrix Factorization (NMF) has proven to be a useful tool for the analysis of nonnegative multivariate data. However, it is known not to lead to unique results when applied to Blind Source Separation (BSS) problems. In this paper we present an extension of NMF capable of solving the BSS problem when the underlying sources are sufficiently sparse. In contrast to most well-established BSS methods, the...
Data: 2008
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Origem: RIA - Repositório Institucional da Universidade de Aveiro
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