中国科学技术大学 shaolimin--Home-- Determining the number of principal factors by eigenvector comparison of the original bi-linear data matrix and the one reconstructed from key variables

邵利民

Associate professor

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Contact Information:0551－63603430

Degree:Dr

Academic Honor

2011 Participant of the Program for New Century Excellent Talents of Ministry of Education of China

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Dr. Shao's research is funded by National Natural Science Foundation of China, University of Idaho, and Ministry of Education of the People's Republic of China.

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Determining the number of principal factors by eigenvector comparison of the original bi-linear data matrix and the one reconstructed from key variables

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Impact Factor:2.895

DOI number:10.1016/j.chemolab.2015.10.011

Journal:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Correspondence Author:shaolimin

Document Code:000368044900003

Volume:149

Page Number:17-23

ISSN No.:0169-7439

Translation or Not:no

Date of Publication:2015-12-15

Included Journals:SCI

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