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Optimizing DBSCAN Parameters for Depth-Based Earthquake Clustering Using Grid Search

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This assessment identifies distinct earthquake clusters in Sulawesi, suggesting depth-related seismic risks for hazard mapping.

The optimized dbscan parameters identified nine distinct earthquake clusters, enhancing spatial clarity and interpretation.
Optimal parameters were ε = 0.4 and min_samples = 54, improving cluster separation compared to heuristic settings.
Analysis utilized a grid search method to systematically optimize dbscan parameters across a range of values.
Findings indicate that shallow earthquakes show greater magnitude variation, highlighting potential seismic hazards.

Rushendra et al. (2025) studied this question.

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