UNSUPERVISED MACHINE LEARNING FOR SEISMIC ANOMALY DETECTION: LOCAL OUTLIER FACTOR ALGORITHM TO INDONESIAN EARTHQUAKE DATA
Indonesia's location on the "Ring of Fire" poses a high risk for seismic events. Addressing this, our study applied the Local Outlier Factor (LOF) algorithm for advanced seismic anomaly detection, crucial for geotectonic upheaval prediction. The LOF, adept at unsupervised learning in...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Bina Bangsa
2023-12-01
|
| Series: | Jurnal Lebesgue |
| Subjects: | |
| Online Access: | https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/488 |