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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| 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 |