A systematic study on the effects of multi-set data analysis on the range of feasible solutions
Chemometrics and Intelligent Laboratory Systems(2016)
摘要
The objective of self modeling curve resolution (SMCR) methods is to decompose a second-order bilinear data matrix into a range of chemically meaningful matrices without any knowledge about the chemical or physical model describing the considered system. In addition, SMCR methods are efficient approaches to deeply investigate data structures by finding not only one of the solutions but all possible ones.
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关键词
Self modeling curve resolution (SMCR),Multi-set data analysis,Simultaneous analysis,Global analysis,Rotational ambiguity,Lawton–Sylvestre method
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