A collection of tools for chemometrics and machine learning written in Julia.
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Updated
Mar 25, 2022 - Julia
A collection of tools for chemometrics and machine learning written in Julia.
A graphical software for interactive rotational factor analysis and visualization of two-way data, mainly intended for vibrational spectra.
Legacy weighted SIMPLISMA (pure) for selecting pure variables in multivariate datasets.
The PARAFAC-ALS (Lite version) algorithm unmixes trilinear data to obtain the pure components.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.
The MCR-ALS (Lite version) algorithm unmixes bilinear data to obtain the pure components.
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