The Use of Cluster Analysis in the Derivation of Geotechnical Classifications
1980; Geological Society of America; Volume: xvii; Issue: 4 Linguagem: Inglês
10.2113/gseegeosci.xvii.4.193
ISSN1558-9161
Autores Tópico(s)Drilling and Well Engineering
ResumoResearch Article| January 01, 1980 The Use of Cluster Analysis in the Derivation of Geotechnical Classifications ALAN G. JUDD ALAN G. JUDD Alan G. Judd is a Research Associate in Ocean Engineering, University of Newcastle upon Tyne, England. Search for other works by this author on: GSW Google Scholar Author and Article Information ALAN G. JUDD Alan G. Judd is a Research Associate in Ocean Engineering, University of Newcastle upon Tyne, England. Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online Issn: 1558-9161 Print Issn: 1078-7275 © 1980 Association of Engineering Geologists Environmental & Engineering Geoscience (1980) xvii (4): 193–211. https://doi.org/10.2113/gseegeosci.xvii.4.193 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation ALAN G. JUDD; The Use of Cluster Analysis in the Derivation of Geotechnical Classifications. Environmental & Engineering Geoscience 1980;; xvii (4): 193–211. doi: https://doi.org/10.2113/gseegeosci.xvii.4.193 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract Geotechnical data from a trench in glacial till is used in an examination of the technique of cluster analysis. Variations in the cluster analysis technique are discussed and a method, involving the optimization of an initial hierarchical grouping is proposed as the most appropriate method of classifying geotechnical data. The problem of ascertaining the optimum number of groups is also discussed. Three cluster analysis classifications of the data are presented and compared with a geotechnical classification by using a chi-square test. This content is PDF only. Please click on the PDF icon to access. First Page Preview Close Modal You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
Referência(s)