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Summary of Data Reduction & Pattern Recognition

You have studied three widely used chemometric receptor models in data reduction and pattern recognition such; Principal Component Analysis (PCA). PCA is a method that functions to reduce the data …

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 …

Week 3 Wrap Up

We have learned several of the chemometric models in week 3. We demonstrate the steps for the execution of the model. You will be able to apply the models such …