Cluster Analysis and Seismicity of The Samosir Using Machine Learning Approach-Reference-Cited by-同舟云学术

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Cluster Analysis and Seismicity of The Samosir Using Machine Learning Approach

Published:2023-12-08 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2023 Eighth International Conference on Informatics and Computing (ICIC)
language:
Short-container-title:

Author:

Sinambela Marzuki¹,Darnila Eva²,Jaya Indra Kelana³,Sarkis Indra M³,Rikki Alex⁴

Affiliation:

1. STMKG,Program in Applied of Instrumentation Meteorology, Climatology Geophysics,Indonesia

2. Universitas Malikussaleh,Department of Computer,Aceh,Indonesia

3. Universitas Methodist Indonesia,Department of Computer

4. Universitas Katolik Santo Thomas,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10381889/10381891/10381924.pdf?arnumber=10381924

Reference17 articles.

1. K-Means cluster analysis in earthquake epicenter clustering

2. Updating active fault maps and sliprates along the Sumatran Fault Zone, Indonesia

3. Updating active fault maps and sliprates along the Sumatran Fault Zone, Indonesia

4. Wavelet based machine learning approach for spectral seismic signal analysis: A case study North Tapanuli earthquake

5. The Characteristics Influence of The Seismic Signal Noise Using Spectral Analysis

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