Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization

Uncovering community structures is important for understanding networks. Currently, several nonnegative matrix factorization algorithms have been proposed for discovering community structure in complex networks. However, these algorithms exhibit some drawbacks, such as unstable results and inefficie...

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Detalles Bibliográficos
Autores principales: Tang, Xianchao, Xu, Tao, Feng, Xia, Yang, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182427/
https://www.ncbi.nlm.nih.gov/pubmed/25268494
http://dx.doi.org/10.1371/journal.pone.0107884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182427/
https://www.ncbi.nlm.nih.gov/pubmed/25268494
http://dx.doi.org/10.1371/journal.pone.0107884

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