Our supporters
Browse the latest algorithms, datasets, and tools contributed by the global chemometrics community. Find resources, share your work, and stay updated.
Local Asymmetric Least Squares (LALS) allows complex baseline corrections.
Normalizes an input matrix using various norms and dimensions for flexible data scaling.
This function crops a hyperspectral image by keeping pixels with intensities in a defined range.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.
A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.