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This project demonstrates how to use DBSCAN clustering to identify crime hotspots based on latitude and longitude data. It is built using Python, Scikit-learn, Folium, and Flask, and visualizes dense ...
Overview The DBSCAN Density Tool takes any comma separated values (.csv) file with latitude and longitude fields and performs density-based clustering on the data using user-provided values for ...
In recent years, the extraction of extensive spatiotemporal datasets from various sources has surged. One notable example is the cloud-to-ground (CG) lightning dataset in atmospheric area, where each ...
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