Clustering Geo-data Cubes

doi:10.5281/zenodo.3979172

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Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

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DOI:

10.5281/zenodo.3979172

Description

Tool to perform co- and tri-cluster analysis
Targets geospatial data sets
Includes functionalities to refine the clustering using k-means
Multiple implementations to work with local or distributed systems

Clustering Geo-data Cubes (CGC) includes various implementations of co- and tri-clustering algorithms to efficiently carry out cluster analysis on both small and large data sets, using either local or distributed resources. Tutorials illustrate how to use this Python tool with real-world geospatial raster data.

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