Feasibility of principal component analysis for multi-class earthquake prediction machine learning model utilizing geomagnetic field data

• المؤلفون الرئيسيون: Qaedi, Kasyful, Abdullah, Mardina, Yusof, Khairul Adib, Hayakawa, Masashi
• التنسيق: مقال
• اللغة: English
• منشور في: Multidisciplinary Digital Publishing Institute 2024
• الوصول للمادة أونلاين: http://psasir.upm.edu.my/id/eprint/113525/1/113525.pdf; http://psasir.upm.edu.my/id/eprint/113525/; https://www.mdpi.com/2076-3263/14/5/121

Geomagnetic field data have been found to contain earthquake (EQ) precursory signals; however, analyzing this high-resolution, imbalanced data presents challenges when implementing machine learning (ML). This study explored feasibility of principal component analyses (PCA) for reducing the dimension...