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Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment

 

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Opened Access Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment
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Author: Shang, Xueyi
Li, Xibing
Morales Esteban, Antonio
Asencio Cortés, G.
Wang, Zewei
Department: Universidad de Sevilla. Departamento de Estructuras de Edificación e Ingeniería del Terreno
Date: 2018
Published in: Remote Sens, 10 (3)
Document type: Article
Abstract: Microseismic sensing taking advantage of sensors can remotely monitor seismic activities and evaluate seismic hazard. Compared with experts’ seismic event clusters, clustering algorithms are more objective, and they can handle many seismic events....
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Cite: Shang, X., Li, X., Morales Esteban, A., Asencio Cortés, G. y Wang, Z. (2018). Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment. Remote Sens, 10 (3)
Size: 10.15Mb
Format: PDF

URI: https://hdl.handle.net/11441/75009

DOI: 10.3390/rs10030461

This work is under a Creative Commons License: 
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