Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization
نویسندگان
چکیده
منابع مشابه
Correction: 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 inefficient running times. In view of the problems, a novel approach that utilizes an initialized Bayesian...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0107884