Selecting and visualizing the spectral variability relevant for sample classification using principal component analysis
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DOI: 10.1039/d0ja00148a
Abstract: In this work we present a simple procedure based on principal component analysis (PCA) to reconstruct a measured spectrum by selecting the portion of its total variance of interest. We also provide an approach to… read more here.
Keywords: visualizing spectral; component analysis; spectral variability; principal component ... See more keywords