Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5615
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZarandi, Mohammad Hossein Fazel-
dc.contributor.authorAvazbeigi, Milad-
dc.contributor.authorAnssari, M. H.-
dc.contributor.authorTürkşen, İsmail Burhan-
dc.date.accessioned2021-09-11T15:19:23Z-
dc.date.available2021-09-11T15:19:23Z-
dc.date.issued2010en_US
dc.identifier.citation2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010, 12 July 2010 through 14 July 2010, Toronto, ON, 81691en_US
dc.identifier.isbn9781424478576-
dc.identifier.urihttps://doi.org/10.1109/NAFIPS.2010.5548291-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5615-
dc.description.abstractThis paper presents a new index for measuring interval distances and its related metric. The proposed index and metric are both based on the Hausdorff distance which can be used for clustering uncertain interval data. Then using the new metric, a clustering method is introduced for clustering of intervals. Finally, some experiments are provided to validate the method. Results show that the method can identify appropriate clusters efficiently. © 2010 IEEE.en_US
dc.description.sponsorshipThe Institute of Electrical and Electronic Engineers (IEEE);Ryerson University;University of Waterlooen_US
dc.language.isoenen_US
dc.relation.ispartofAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPSen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClustering interval dataen_US
dc.subjectComponenten_US
dc.subjectHausdorff distanceen_US
dc.subjectPattern recognitionen_US
dc.subjectUncertain interval dataen_US
dc.titleClustering Uncertain Interval Data Using a New Hausdorff-Based Metricen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.scopus2-s2.0-77956574225en_US
dc.institutionauthorTürkşen, İsmail Burhan-
dc.identifier.doi10.1109/NAFIPS.2010.5548291-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

38
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.