A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering

A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering

Investigations made to evaluate the site-effect characteristics and to develop a reliable site classification scheme have received paramount importance for the urban areas planning and reliable site-specific seismic hazard assessment. This paper presents a novel non-objective and data-driven approac...

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Bibliographic Details
Main Authors: Sayed S. R. Moustafa, Mohamed S. Abdalzaher, Farhan Khan, Mohamed Metwaly, Eslam A. Elawadi, Nassir S. Al-Arifi
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Machine learning
seismic site classification
HVSR
clustering
affinity propagation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/647478acc7cd426f8232d6c7d274be84
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https://doaj.org/article/647478acc7cd426f8232d6c7d274be84

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