Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation

Yuheng Jia, Jia-Nan Li, Wenhui Wu +1

Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clust…