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Data augmentation, multivariate curve principal component analysis

Principal component analysis (PCA) and multivariate curve resolution-alternating least squares (MCR-ALS) were applied to the augmented columnwise data matrix D1"1", as shown in Figure 11.16. In both cases, a linear mixture model was assumed to explain the observed data variance using a reduced number of contamination sources. The bilinear data matrix decomposition used in both cases can be written by Equation 11.19 ... [Pg.456]

See other pages where Data augmentation, multivariate curve principal component analysis is mentioned: [Pg.455]    [Pg.205]   
See also in sourсe #XX -- [ Pg.234 , Pg.235 , Pg.236 , Pg.294 , Pg.295 , Pg.296 , Pg.297 ]



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Augmentative

Augmented

Augmenting

Component Data

Component analysis

Data Analysis Principal components

Multivariable analysis

Multivariant analysis

Multivariate analysis

Multivariate data analysis

Multivariate principal-components analysis

Multivariative data

Principal Component Analysis

Principal analysis

Principal component analysi

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