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Multivariate Pattern Recognition in Chemometrics: Illustrated by Case Studies: v. 9 (Data Handling in Science and Technology) - Tapa blanda
Sinopsis
Explains approaches to pattern recognition as applied to multivariate chemical data, including data reduction and display techniques, principal-component analysis, and methods for classification and clustering. Extensively cross-referenced. Based on material used in courses primarily for professionals in chemometrics, biomedical mathematics and computing, and related fields. Inexpensive, tutorial versions of two relevant software packages are available to accompany the text. Annotation copyright Book News, Inc. Portland, Or.
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Explains approaches to pattern recognition as applied to multivariate chemical data, including data reduction and display techniques, principal-component analysis, and methods for classification and clustering. Extensively cross-referenced. Based on material used in courses primarily for professiona
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