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In this paper, we explore the application of nonnegative matrix factorization (NMF) in statistical process monitoring. NMF has become a famous dimension reduction and feature extraction method due to its ability to produce highly localized, sparse and parts-based representation. However, NMF and all kinds of its variants have to suffer their failure to obtain some kind of statistical property of data...
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