
Multivariate Pattern Recognition in Chemometrics
Illustrated by Case Studies
- 1st Edition, Volume 9 - September 4, 1992
- Imprint: Elsevier Science
- Editor: R.G. Brereton
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 4 - 5 5 6 1 3 - 4
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 8 6 8 3 6 - 3
Chemometrics originated from multivariate statistics in chemistry, and this field is still the core of the subject. The increasing availability of user-friendly software in the… Read more

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Request a sales quoteThe book covers approaches for pattern recognition as applied, primarily, to multivariate chemical data. These include data reduction and display techniques, principal components analysis and methods for classification and clustering.
Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will. Worked examples and exercises are given, making the volume valuable for courses.
Tutorial versions of SPECTRAMAP and SIRIUS are optionally available as a Software Supplement, at a low price, to accompany the text.
- Edition: 1
- Volume: 9
- Published: September 4, 1992
- Imprint: Elsevier Science
- No. of pages: 324
- Language: English
- Paperback ISBN: 9780444556134
- eBook ISBN: 9780080868363
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