An orthogonal feature selection method
Pattern RecognitionPublished 1 January 1976
Bruce R. Kowalski, Charles F. Bender
Citations62
SJR quartileQ1
SJR score2.06
SNIP2.67
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TL;DR
A new preprocessing method that has found considerable use for chemical applications is presented and features are selected that are useful for class discrimination, orthogonal, and at least in part, retain identity to the original measurements.
Abstract
A new preprocessing method that has found considerable use for chemical applications is presented. Features are selected that are useful for class discrimination, orthogonal, and at least in part, retain identity to the original measurements. A brief introduction to chemical pattern recognition is presented followed by a description of the method and an application to mass spectral data analysis.
Keywords
ChemistryEngineering
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