Robust statistics is essential for handling data with corruption or missing entries. This robust variant of principal component analysis (PCA) is now a workhorse algorithm in several fields, including fluid mechanics, the Netflix prize, and image processing.
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These lectures follow Chapter 3 from:
“Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control“ by Brunton and Kutz
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