Two novel methods for the determination of the number of components in independent components analysis models

Chemometrics and Intelligent Laboratory Systems

Volumn 112, Issue , 2012, Pages 24-32

  Jouan Rimbaud Bouveresse, D ^a,b   Moya Gonzalez A ^c   Ammari, F ^d   Rutledge, D N ^a,b  

^a Université Paris Saclay   (France)

^b AGROPARISTECH   (France)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^d UNIVERSITY OF CARTHAGE   (Tunisia)

Author keywords

Durbin Watson criterion; Independent Components Analysis (ICA); Validation

Indexed keywords

2,6 OCTADIYNE; 5 METHYLENEBICYCLO[2.2.1] 2 HEPTENE; ALKENE DERIVATIVE; ALKYNE DERIVATIVE; ETHYLBENZENE; META XYLENE; NIGELLA SATIVA EXTRACT; PARA XYLENE; UNCLASSIFIED DRUG;

APPLE; ARTICLE; CALCULATION; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; FLUORESCENCE SPECTROSCOPY; INDEPENDENT COMPONENT ANALYSIS; INFRARED SPECTROSCOPY; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 84857650902     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.12.005     Document Type: Article

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