Characterization of earthquakes in northern Chile using clustering techniques for the identification of possible first response points
Keywords:
Data mining, Earthquakes, Clustering, DBSCAN, Norte Grande of ChileAbstract
This article explains the work carried out to cluster seismic events in northern Chile to identify potential geographic areas where first response points can be deployed in case of catastrophes. The CRISP-DM methodology was used, applying six clustering algorithms and evaluating the results with internal validation indices. The best results were obtained with DBSCAN, identifying locations such as Achuleo, north of Pisagua, Pozo Almonte, and Caleta Chipana as candidate sectors for establishing response points. It is concluded that density-based algorithms are the most recommended for this type of analysis.
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Copyright (c) 2024 Francisco García Barrera, David Contreras Aguilar, Fernando Vergara Ramírez, Xenia Andaur Estica
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright of their work and grant the journal the right of first publication under the Creative Commons CC-BY Attribution License, which permits unrestricted use, distribution, and reproduction provided the original authorship and the journal’s first publication are acknowledged.
