Principal component analysis: Most favourite tool in chemometrics |
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| Authors: | Keshav Kumar |
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| Affiliation: | 1.Institute for Wine Analysis and Beverage Research, Hochschule,Geisenheim University,Geisenheim,Germany |
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| Abstract: | Principal component analysis (PCA) is the most commonly used chemometric technique. It is an unsupervised pattern recognition technique. PCA has found applications in chemistry, biology, medicine and economics. The present work attempts to understand how PCA work and how can we interpret its results. |
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