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

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

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. Many methods have been proposed for seismic event cl...

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Bibliographic Details
Main Authors: Xueyi Shang, Xibing Li, Antonio Morales-Esteban, Gualberto Asencio-Cortés, Zewei Wang
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
seismicity analysis
hazard assessment
spatio-temporal analysis
data field
K-means cluster
time-event location distance
Online Access:http://www.mdpi.com/2072-4292/10/3/461

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http://www.mdpi.com/2072-4292/10/3/461

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