Deep Conditional Census-Constrained Clustering (DeepC4) for Large-scale Multi-task Disaggregation of Urban Morphology

This Zenodo record contains the datasets of our research (Spatial Disaggregation of Rwandan Building Exposure and Vulnerability via Weakly Supervised Conditional Census-Constrained Clustering (C4) using Earth Observation Data) submiited for American Geophysical Union Annual Meeting 2024 to be held in Washington, D.C. on 9th-13th of December 2024. The GitHub repository of MATLAB & Python codes can be accessed here: github.com. If you have any inquiries or would like to access any related materials, please feel free to visit my website (joshuadimasaka.com) or our project website (riskaudit.github.io), follow our project's GitHub repository (github.com), or send an email to jtd33@cam.ac.uk. This will be updated (including the links to the session schedule, if any) after we receive the results in October 2024. This Zenodo record is merely to faciliate early sharing of research outputs and to follow clear version controls of our research outputs.