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A tutorial on Principal Components Analysis
Lindsay I Smith
February 26, 2002
This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA).
PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension.
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- Published by Dimitrios A. Adamos in: Tutorials
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