Using unsupervised machine learning for clustering seismic noise-Reference-Cited by-同舟云学术

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Using unsupervised machine learning for clustering seismic noise

Published:2022-02-24 Issue: Volume: Page:
ISSN:
Container-title:SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021
language:
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Author:

Yang Yonggang¹,Niu Fenglin¹²

Affiliation:

1. China University of Petroleum

2. Rice University

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/iwmg2021-13.1

Reference19 articles.

1. PageRank for Earthquakes

2. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements

3. Helicopter vs. volcanic tremor: Characteristic features of seismic harmonic tremor on volcanoes

4. A year of microseisms in southern California

5. Interaction of microseisms with crustal heterogeneity: A case study from the San Jacinto fault zone area

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