Multivariate Pattern Recognition in Chemometrics: Illustrated by Case Studies

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