Input variable selection for PLS modeling using nearest correlation spectral clustering

Chemometrics and Intelligent Laboratory Systems

Volumn 118, Issue , 2012, Pages 109-119

  Fujiwara, Koichi ^a   Sawada, Hiroshi ^a   Kano, Manabu ^b  

^a NTT Communication Science Laboratories   (Japan)

^b KYOTO UNIVERSITY   (Japan)

Author keywords

Graph theory; Modeling; Regression; Soft senor; Spectral clustering; Variable selection

Indexed keywords

ALGORITHM; ARTICLE; CHEMICAL INDUSTRY; CONTROLLED STUDY; EXPLANATORY VARIABLE; INPUT VARIABLE; MATHEMATICAL VARIABLE; METHODOLOGY; NEAREST CORRELATION SPECTRAL CLUSTERING; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; SENSOR; SOFT SENSOR; STATISTICAL ANALYSIS; VARIABLE SELECTION;

EID: 84866268194     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.08.007     Document Type: Article

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