Informed Weighted Non-Negative Matrix Factorization Using αβ-Divergence Applied to Source Apportionment

In this paper, we propose informed weighted non-negative matrix factorization (NMF) methods using an [Formula: see text]-divergence cost function. The available information comes from the exact knowledge/boundedness of some components of the factorization—which are used to structure the NMF paramete...

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Detalles Bibliográficos
Autores principales: Delmaire, Gilles, Omidvar, Mahmoud, Puigt, Matthieu, Ledoux, Frédéric, Limem, Abdelhakim, Roussel, Gilles, Courcot, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514734/
https://www.ncbi.nlm.nih.gov/pubmed/33266967
http://dx.doi.org/10.3390/e21030253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514734/
https://www.ncbi.nlm.nih.gov/pubmed/33266967
http://dx.doi.org/10.3390/e21030253

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