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Variable selection based on locally linear embedding mapping for near-infrared spectral analysis

โœ Scribed by Shan, Ruifeng; Cai, Wensheng; Shao, Xueguang


Book ID
122310604
Publisher
Elsevier Science
Year
2014
Tongue
English
Weight
317 KB
Volume
131
Category
Article
ISSN
0169-7439

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Comparison of several calibration methods (principal component regression (PCR), partial least-squares, multiple linear regression), with and without feature selection, applied on near-infrared spectroscopic data is presented for a pharmaceutical application. It is shown that PCR with selection of p