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.
The MCR-ALS (Lite version) algorithm unmixes bilinear data to obtain the pure components.
Legacy weighted SIMPLISMA (pure) for selecting pure variables in multivariate datasets.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.
The PARAFAC-ALS (Lite version) algorithm unmixes trilinear data to obtain the pure components.
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