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Enhancing Earthquake Prediction using Machine Learning with Optimization Method

Earthquakes have complex seismic characteristics that make accurate classification challenging. This study proposes a machine learning approach that combines K-Means clustering and Random Forest to improve earthquake classification performance. We utilize earthquake records with numerical and geographic attributes, inc...