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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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Bibliographic Details
Corporate Authors: Elsevier Science & Technology
Group Author: Brereton, Richard G
Published: New York : Elsevier,
Publisher Address: Amsterdam :
Publication Dates: 1992.
Literature type: eBook
Language: English
Series: Data handling in science and technology ; v. 9
Subjects:
Chemistry > Statistical methods
Multivariate analysis
Chemistry > Statistical methods > Data processing
Multivariate analysis > Data processing
SCIENCE > Chemistry > General
Multivariate Analyse
Chemometrie
Patroonherkenning
Casestudies
Chemie
Electronic books
Online Access: http://www.sciencedirect.com/science/bookseries/09223487/9
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. Comprehensi
Carrier Form: 1 online resource (xi, 325 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780444897831
0444897836
9780080868363
0080868363
Index Number: QD39
CLC: O6-32
Contents: Introduction to multivariate space / Paul J. Lewi -- Multivariate data display / Paul J. Lewi -- Vectors and matrices : basic matrix algebra / N. Bratchelf -- The mathematics of pattern recognition / N. Bratchelf -- Data reduction using principal components analysis / John M. Deane -- Cluster analysis / N. Bratchell -- SIMCA : classification by means of disjoint cross validated principal components models / Olav M. Kvalheim, Terje V. Karstang -- Hard modelling in supervised pattern recognition / D. Coomans, D.L. Massart -- SPECTRAMAP : user introduction to Spectramap / Paul J. Lewi.

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