Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data.
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DOI: 10.1016/j.forsciint.2021.110998
Abstract: Near Infrared (NIR) is a type of vibrational spectroscopy widely used in different areas to characterize substances. NIR datasets are comprised of absorbance measures on a range of wavelengths (λ). Typically noisy and correlated, the… read more here.
Keywords: importance ranking; forest classifier; random forest; wavelength importance ... See more keywords