Clustering Geo-data Cubes

• 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.