ACOGASS: variable, sample and pre-processing selection
Graphical user interface for the simultaneous selection of variables, samples and pre-processing methods in multivariate calibration.
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ACOGASS is a MATLAB graphical user interface for the simultaneous selection of calibration/validation samples, spectral (or other types of) variables and mathematical pre-processing methods in multivariate calibration with partial leas-squares (PLS-1). The interface integrates different algorithms for the selections: (1) ant colony optimization for variables, (2) genetic algorithms for pre-processing, and (3) Kennard-Stone and SPXY for samples.
Cite As
Alejandro Olivieri (2026). ACOGASS: variable, sample and pre-processing selection (https://nl.mathworks.com/matlabcentral/fileexchange/183299-acogass-variable-sample-and-pre-processing-selection), MATLAB Central File Exchange. Retrieved .
An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration. Allegrini, F, Olivieri, AC, Talanta 115 (2013) 755-760.
General Information
- Version 1.0.1 (583 KB)
MATLAB Release Compatibility
- Compatible with R2012a to R2018b
Platform Compatibility
- Windows
- macOS
- Linux
