A program for calculating Mahalanobis distances using principal component analysis

A technique for pattern recognition analysis of near-infrared reflectance spectra is described. Classification of samples is achieved by using the Mahalanobis distances of spectra in a principal component subspace. Probability levels for class membership are determined from the Chi-squared distribut...

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Bibliographic Details
Published in:TrAC, Trends in analytical chemistry (Regular ed.) Trends in analytical chemistry (Regular ed.), 1989-11, Vol.8 (10), p.357-361
Main Authors: Shah, Nilesh K., Gemperline, Paul J.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Fundamental and applied biological sciences. Psychology
General aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
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Summary:A technique for pattern recognition analysis of near-infrared reflectance spectra is described. Classification of samples is achieved by using the Mahalanobis distances of spectra in a principal component subspace. Probability levels for class membership are determined from the Chi-squared distribution.
ISSN:0165-9936
1879-3142
DOI:10.1016/0165-9936(89)85073-3