Clustering Geo-Data Cubes (CGC)
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensional geospatial data. The included tools allow the user to efficiently run co-clustering, tri-clustering, and K-means clustering tasks in parallel on local and distributed systems. The code has been developed as a collaborative effort between the ITC, University of Twente and the Netherlands eScience Center within the large-scale distributed phenological analysis collaboration.
- Code repository: https://github.com/phenology/cgc
- Documentation: https://cgc.readthedocs.io/en/latest
Cite as: Nattino, F., Ku, O., Grootes, M. W., Goncalves, R., Izquierdo-Verdiguier, E., Girgin, S., & Zurita-Milla, R. (2020) Clustering Geo-Data Cubes (CGC): A Clustering Tool for Geospatial Applications, doi:10.5281/zenodo.4034842