beatricebs/CRISM-python-unsupervised-clustering: v2.0.0
Abstract
Latest version of the toolkit to perform unsupervised machine learning (clustering) on CRISM near-infrared hyperspectral data on Mars. New features: A dedicated Jupyter notebook to compute the ratioed cube is now available within the repository. Improvements: Improved code structure and comments. Improved readme. Minor bug fixes.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 June 2026