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dbscan-algorithm

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Config-driven CLI pipeline for GPS telemetry movement analysis. Computes home ranges (MCP, KDE), adaptive spatial clustering (DBSCAN/HDBSCAN), behavioural states (GMM), seasonal dynamics, and environmental interactions. Outputs publication-ready figures, tables, and GIS layers.

  • Updated Apr 12, 2026
  • Python

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

  • Updated Feb 14, 2025
  • Python

Customer segmentation with DBSCAN on mall data. Includes manual density intuition, feature scaling, K-distance graph for eps, noise/outlier detection, and business interpretation of clusters.

  • Updated Aug 28, 2026
  • Python

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