A New Adaptive Robust Modularized Semi-Supervised Community Detection Method Based on Non-negative Matrix Factorization
Mohammad Ghadirian,
Nooshin Bigdeli
Abstract:The most extensively used tools for categorizing complicated networks are community detection methods. One of the most common methods for unsupervised and semi-supervised clustering is community detection based on Non-negative Matrix Factorization (NMF). Nonetheless, this approach encounters multiple challenges, including the lack of specificity for the data type and the decreased efficiency when errors occur in each cluster’s knowledge priority. As modularity is the basic and thorough criterion for evaluating… Show more
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