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Principal Component Analysis

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If you have a question about this talk, please contact John Wickerson.

Principal Component Analysis (PCA) is an extremely powerful technique that lies at the heart of many statistical methods and has a large number of practical applications. In my talk I will try to convey an intuitive understanding of PCA , but also give a rigorous mathematical derivation. In addition, I will describe some of the applications of PCA (such as face recognition).

This talk is part of the Churchill CompSci Talks series.

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