2015
DOI: 10.1016/b978-0-444-63527-3.00008-4
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Unfolded and Multiway Partial Least-Squares with Residual Multilinearization

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Cited by 9 publications
(2 citation statements)
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“…This matrix expansion is done in the direction in which the bilinearity of the data is broken. It is known that for electrochemical data, this decomposition often occurs in the instrumental mode, 31 which in this case is related to the potential pulse height; thus, the generated matrix expands in columns in this mode.…”
Section: Resultsmentioning
confidence: 99%
“…This matrix expansion is done in the direction in which the bilinearity of the data is broken. It is known that for electrochemical data, this decomposition often occurs in the instrumental mode, 31 which in this case is related to the potential pulse height; thus, the generated matrix expands in columns in this mode.…”
Section: Resultsmentioning
confidence: 99%
“…For the geographical origin, identification of the highest accuracy is obtained through autoscale, variance (std) scaling and class centroid centering and scaling. For the botanical origin, the highest accuracy is obtained through the variance (std) scaling data pre-treatment [149]; o Unfolded PLS-DA UPLS-DA combines unfolded PLS [150] which decompose the sample spectra to extract the relevant information with DA; o Multilinear PLS-DA MPLS-DA combines multilinear PLS [151,152] which can use multidimensional data as input with DA.…”
mentioning
confidence: 99%