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Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization
IEEE Transactions on Neural Networks and Learning Systems, 2018As a variant of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) has shown to be effective for capturing the cluster structure embedded in the graph representation. In contrast to the existing SNMF-based clustering methods that empirically construct the similarity matrix and rigidly introduce the supervisory information to the assignment ...
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