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Pattern‐Recognition‐Verfahren in der Umweltanalytik und Ökotoxikologie: Methodische Grundlagen

Pattern‐Recognition‐Verfahren in der Umweltanalytik und Ökotoxikologie: Methodische Grundlagen Modern methods of analyses of environment yield multivariate data sets of measured objects which are used as the basis of the evaluation and interpretation of substances, differentiated effects, but also of samples or processes. The integrated evaluation and assessment of such multivariate data requires the application of mathematical‐statistical methods, the method of pattern recognition being particularly suitable. Pattern recognition program systems constitute a compilation of different methods, as e.g. the multivariate linear regression, classification methods (discriminant analysis, multivariate variance analysis), cluster algorithms, multidimensional scaling, factorial analysis. A few possibilities of such pattern comparisons and identifications are represented by the example of gas chromatography and of the structure/effect analysis for the mutagenity to be expected of 117 substances. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta hydrochimica et hydrobiologica Wiley

Pattern‐Recognition‐Verfahren in der Umweltanalytik und Ökotoxikologie: Methodische Grundlagen

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References (11)

Publisher
Wiley
Copyright
Copyright © 1986 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0323-4320
eISSN
1521-401X
DOI
10.1002/aheh.19860140404
Publisher site
See Article on Publisher Site

Abstract

Modern methods of analyses of environment yield multivariate data sets of measured objects which are used as the basis of the evaluation and interpretation of substances, differentiated effects, but also of samples or processes. The integrated evaluation and assessment of such multivariate data requires the application of mathematical‐statistical methods, the method of pattern recognition being particularly suitable. Pattern recognition program systems constitute a compilation of different methods, as e.g. the multivariate linear regression, classification methods (discriminant analysis, multivariate variance analysis), cluster algorithms, multidimensional scaling, factorial analysis. A few possibilities of such pattern comparisons and identifications are represented by the example of gas chromatography and of the structure/effect analysis for the mutagenity to be expected of 117 substances.

Journal

Acta hydrochimica et hydrobiologica – Wiley

Published: Jan 1, 1986

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