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

Full description

Data collected in this repository is structured as follows code/: The folder containing "RiskMap" web app project (maven). In particular, the code for automatic parameter estimation can be found in code/RiskMap/src/thesis/servlet folder. Automatic parameter estimation of DBSCAN can be found in DBSCANServlet.java. Automatic parameter estimation of HDBSCAN can be found in HDBSCANServlet.java. paper/: Formal description of the algorithm and evaluation result. presentation/: PDF of paper presentation in certain conference or venue. The data collected in this repository relates to the paper "Automated density-based clustering of spatial urban data for interactive data exploration". 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 scheme with existing cluster indices to rank the clustering results. The framework of multi-resolution density-based clustering and visualization is implemented and evaluated using a real-world road crash datasets.