Towards unsupervised analysis of second-order chromatographic data: Automated selection of number of components in multivariate curve-resolution methods

Journal of Chromatography A

Volumn 1158, Issue 1-2, 2007, Pages 258-272

  Vivo Truyols G ^a   Torres Lapasio J R ^b   Garcia Alvarez Coque M C ^b   Schoenmakers, P J ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Autocorrelation; Durbin Watson; Multivariate curve resolution; Orthogonal projection approach; Unsupervised

Indexed keywords

CHROMATOGRAPHIC ANALYSIS; DATA REDUCTION; DECONVOLUTION; MULTIVARIANT ANALYSIS;

ELUTION PROFILES; ORTHOGONAL PROJECTION; RESOLUTION METHODS; SECOND-ORDER DATA; UNSUPERVISED ANALYSIS;

UNSUPERVISED LEARNING;

ALGORITHM; ARTICLE; AUTOMATION; ELUTION; GAS CHROMATOGRAPHY; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; PRIORITY JOURNAL; SIMULATION;

AUTOMATION; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; MULTIVARIATE ANALYSIS;

EID: 34347406718     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2007.03.005     Document Type: Article

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