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Modified PCA and PLS: Towards a better classification in Raman spectroscopy–based biological applications
2019
Journal of Chemometrics
Raman spectra of biological samples often exhibit variations originating from changes of spectrometers, measurement conditions, and cultivation conditions. Such unwanted variations make a classification extremely challenging, especially if they are more significant compared with the differences between groups to be separated. A classifier is prone to such unwanted variations (ie, intragroup variations) and can fail to learn the patterns that can help separate different groups (ie, intergroup
doi:10.1002/cem.3202
fatcat:h5ypwxrbdvbozhqx2ok5bjwmqi