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- Title
From Tables to Visuals: Principal Component Analysis, Part 1.
- Authors
Massart, D. L.; Heyden, Y. Vander
- Abstract
The article focuses on principal component analysis (PCA) of chromatography. Chromatographic analysis' often leads to data tables. When many samples are analyzed for more than a few components, a table results in which each sample is characterized by many variables. Such tables are not easy to interpret, chemometrics often relies on visualization to help the chemist obtain the required information, and the most used method in this respect is PCA. PCA extracts information from data tables by transforming them into plots. The aim of this article is to provide some background on the PCA method, without going into mathematical detail, and to introduce some of the terminology used by practitioners of the method.
- Subjects
CHROMATOGRAPHIC analysis; CHEMISTS; DATA analysis; MATHEMATICAL variables; PHASE partition; ANALYTICAL chemistry
- Publication
LC-GC Europe, 2004, Vol 17, Issue 11, p586
- ISSN
1471-6577
- Publication type
Article