Earthquake pattern analysis using subsequence time series clustering

In this paper, a subsequence time-series clustering algorithm is proposed to identify the strongly coupled aftershocks sequences and Poissonian background activity from earthquake catalogs of active regions. The proposed method considers the inter-event time statistics between the successive pair of...

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Detalles Bibliográficos
Autores principales: Vijay, Rahul Kumar, Nanda, Satyasai Jagannath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Theoretical Advances
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288819/
https://www.ncbi.nlm.nih.gov/pubmed/35873879
http://dx.doi.org/10.1007/s10044-022-01092-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288819/
https://www.ncbi.nlm.nih.gov/pubmed/35873879
http://dx.doi.org/10.1007/s10044-022-01092-1

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