Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.
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These lectures follow Chapter 1 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
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Brunton Website: eigensteve.com
This video was produced at the University of Washington
Principal Component Analysis (PCA) For Country: United States. City: Allentown, McAllen, Norwalk, Salt Lake City, Tacoma
