Posterior probabilistic clustering using NMF

Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Fu Peng · 2008

We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes the uncertainty in clustering assignment. Furthermore, PPC is closely related to probabilistic latent semantic indexing (PLSI).

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