Multivariate pattern recognition in chemometrics : illustrated by case studies /
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 laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 19...
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| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam :
New York : Elsevier,
1992.
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| Series: | Data handling in science and technology ;
v. 9. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 1987-1992, aimed mainly at professionals in industry. The 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. |
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| Physical Description: | 1 online resource (xi, 325 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780444897831 0444897836 9780080868363 0080868363 0444897844 9780444897848 0444897852 9780444897855 0444897860 9780444897862 |