beatricebs/CRISM-python-unsupervised-clustering: v2.0.0

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Authors: Beatrice Baschetti
Cited by: 1

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