The design of calibration in near infra‐red reflectance analysis by clustering
- 1 April 1987
- journal article
- research article
- Published by Wiley in Journal of Chemometrics
- Vol. 1 (2), 121-134
- https://doi.org/10.1002/cem.1180010207
Abstract
A procedure for selecting samples to use in multivariate calibration, inspired by a paper by Zemroch, is proposed. The method developed is designed for multicollinear data and is based on cluster analysis. It selects among availabe spectra the samples to submit to chemical analysis and calibration. The method is tested on an example from NIR spectroscopy of biscuit dough pieces.This publication has 6 references indexed in Scilit:
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- Unique-sample selection via near-infrared spectral subtractionAnalytical Chemistry, 1985
- Comparison of prediction methods for multicollinear dataCommunications in Statistics - Simulation and Computation, 1985
- Experimental Design: Review and CommentTechnometrics, 1984
- Application of near infrared reflectance spectroscopy to the compositional analysis of biscuits and biscuit doughsJournal of the Science of Food and Agriculture, 1984
- Least-Squares Curve Fitting of near Infrared Spectra Predicts Protein and Moisture Content of Ground WheatApplied Spectroscopy, 1982