Jan Dimter Stránský
Merging Sociology with Data Science
Doing research at IMFD & Universidad de Chile.
Last paper
Learning to cluster urban areas: two competitive approaches and an empirical validation
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papers
Urban
Clustering
Urban clustering detects geographical units that are internally homogeneous and distinct from their surroundings. It has applications in urban planning, but few studies compare the effectiveness of different methods. We study two techniques (GMMs), which operate on spatially distributed data, and Deep Modularity Networks (DMONs), which work on attributed graphs of proximal nodes.