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dc.contributor.authorICASP14
dc.contributor.authorChing, Jianye
dc.contributor.authorSharma, Atma
dc.date.accessioned2023-08-03T14:27:19Z
dc.date.available2023-08-03T14:27:19Z
dc.date.issued2023
dc.identifier.citationJianye Ching, Atma Sharma, Hierarchical Bayesian site clustering for a geotechnical database, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractThis paper presents a new clustering method for sites in a geotechnical database. This clustering method is based on the hierarchical Bayesian site similarity measure (HBSSM) recently proposed by the authors. Utilizing the HBSSM, this study presents a spectral algorithm for clustering geotechnical sites with similar multivariate probability distributions. Using numerical examples, it is shown that the proposed algorithm can produce reasonable clustering results.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleHierarchical Bayesian site clustering for a geotechnical database
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess
dc.identifier.urihttp://hdl.handle.net/2262/103637


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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