Automated density-based clustering of spatial urban data for interactive data exploration

@article{Rosalina2017AutomatedDC,
  title={Automated density-based clustering of spatial urban data for interactive data exploration},
  author={Erica Rosalina and Flora Dilys Salim and Timos Sellis},
  journal={2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
  year={2017},
  pages={295-300}
}
This paper presents a method to automatically estimate parameters for density-based clustering based on data distribution. It also includes several techniques for visualizing the clusters over a map, useful for interactive data exploration. The proposed method enables parameter estimation to automatically adapt to multiple resolutions, allowing the clusters to be recomputed and visualized interactively at query time with the changes of zoom levels and panning of the map. We apply a voting… CONTINUE READING

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