Clustering analysis of the seismic catalog of Iran

Identification and classification of different seismotectonic provinces with similar characteristics in a region of interest is one of the most important subjects in seismic hazard studies. This task is usually done through subjective interpretations based on geological and seismotectonic informatio...

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Bibliographic Details
Published in:	Computers & geosciences Vol. 35; no. 3; pp. 475 - 486
Main Authors:	Ansari, Anooshiravan, Noorzad, Assadollah, Zafarani, Hamid
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.03.2009 Elsevier
Subjects:	Earth sciences Earth, ocean, space Earthquakes, seismology Engineering and environment geology. Geothermics Exact sciences and technology Fuzzy clustering analysis Historical events Instrumental events Internal geophysics Natural hazards: prediction, damages, etc Seismic catalog Seismotectonic provinces Middle East Iran Asia Instrumental events Historical events Fuzzy clustering analysis Seismic catalog Seismotectonic provinces algorithms models seismotectonics fuzzy sets density fuzzy logic data processing classification epicenters earthquakes spatial distribution interpretation catalogs maximum likelihood cluster analysis computers seismicity
ISSN:	0098-3004, 1873-7803
Online Access:	Get full text
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