Enhancement of K-Means algorithm for analyzing earthquake occurrence pattern in the Philippines

This study aims to enhance the K-Means clustering algorithm to improve the analysis of earthquake occurrence patterns in the Philippines. Traditional K-Means, while effective, suffers from limitations such as random initialization and slow convergence. To address these issues, we propose an improved...

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Bibliographic Details

Published in:	International Student Research Review
Main Authors:	Sean Marie Bayono, Ronanne Jcher Bulaon, Richard C. Regala, Vivien A. Agustin, Khatalyn E. Mata
Format:	Article
Language:	English
Published:	Institute of Industry and Academic Research Incorporated 2025-05-01
Subjects:	k-means algorithm mini-batch processing disaster preparedness seismic data analysis
Online Access:	https://iiari.org/conference_article/enhancement-of-k-means-algorithm-for-analyzing-earthquake-occurrence-pattern-in-the-philippines/