Tutorial : Positive Matrix Factorization (PMF)
The positive matrix factorization model (PMF) is a robust chemometrics model. PMF is the most widely used method for source resolution in Chemometric particularly apportionment of airborne particulate matter. The results of source apportionment for environmental variables from PMF are appropriate with very low uncertainty.
Theoretically, PMF produces non-negative distributions (factors) in pattern recognition. It introduces the constraint of non-negativity of all the factor matrices in pattern recognition to obtain physically meaningful solutions. This model does not require the source information of the variables.
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