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Shock and Vibration
Volume 2017, Article ID 5913041, 11 pages
Research Article

-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China)

1School of Resources and Safety Engineering, Central South University, Changsha, China
2Department of Building Structures and Geotechnical Engineering, University of Seville, Seville, Spain
3State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, China
4State Key Laboratory of Resources and Safe Mining, CUMT, Xuzhou, China
5College of Resources and Environmental Science, Chongqing University, Chongqing, China

Correspondence should be addressed to Kang Peng; nc.ude.uqc@gnakgnep

Received 20 December 2016; Accepted 15 June 2017; Published 30 July 2017

Academic Editor: Mariano Artés

Copyright © 2017 Xueyi Shang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Adnan Idris, Khawaja M. Asim, Talat Iqbal, and Francisco Martínez-Álvarez, “Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification,” Soil Dynamics and Earthquake Engineering, vol. 111, pp. 1–7, 2018. View at Publisher · View at Google Scholar
  • Xueyi Shang, Xibing Li, Antonio Morales-Esteban, Gualberto Asencio-Cortés, and Zewei Wang, “Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment,” Remote Sensing, vol. 10, no. 3, pp. 461, 2018. View at Publisher · View at Google Scholar