CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes

Python Jupyter Notebook Submitted 17 December 2021Published 10 April 2022
Review

Editor: @hugoledoux (all papers)
Reviewers: @Subho07 (all reviews), @Narayana-Rao (all reviews)

Authors

Francesco Nattino (0000-0003-3286-0139), Ou Ku (0000-0002-5373-5209), Meiert W. Grootes (0000-0002-5733-4795), Emma Izquierdo-Verdiguier (0000-0003-2179-1262), Serkan Girgin (0000-0002-0156-185X), Raul Zurita-Milla (0000-0002-1769-6310)

Citation

Nattino et al., (2022). CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. Journal of Open Source Software, 7(72), 4032, https://doi.org/10.21105/joss.04032

@article{Nattino2022, doi = {10.21105/joss.04032}, url = {https://doi.org/10.21105/joss.04032}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {72}, pages = {4032}, author = {Francesco Nattino and Ou Ku and Meiert W. Grootes and Emma Izquierdo-Verdiguier and Serkan Girgin and Raul Zurita-Milla}, title = {CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes}, journal = {Journal of Open Source Software} }
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clustering co-clustering tri-clustering geospatial

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