Advanced Machine Learning Techniques for Seismic Anomaly Detection in Indonesia: A Comparative Study of Lof, Isolation Forest, and One-Class SVM
Gregorius Airlangga
Abstract:This study presents a comprehensive comparison of three machine learning algorithms for anomaly detection within seismic data, focusing on the unique geographical and geological context of Indonesia, a region prone to frequent seismic events. Local Outlier Factor (LOF), Isolation Forest, and One-Class SVM were assessed using a meticulously curated dataset from the Indonesian Meteorology, Climatology, and Geophysical Agency, standardized to ensure consistent feature scale. Our analysis encompassed both statisti… Show more
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