Nonnegative tensor factorization for contaminant source identification.
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DOI: 10.1016/j.jconhyd.2018.11.010
Abstract: Unsupervised Machine Learning (ML) is becoming increasingly popular for solving various types of data analytics problems including feature extraction, blind source separation, exploratory analyses, model diagnostics, etc. Here, we have developed a new unsupervised ML… read more here.
Keywords: methodology; tensor factorization; groundwater types; contaminant ... See more keywords