Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1906
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÇakar Tuna-
dc.contributor.authorKaran Baris-
dc.contributor.authorErcan Alperen-
dc.date.accessioned2023-03-06T06:53:16Z
dc.date.available2023-03-06T06:53:16Z
dc.date.issued2022-
dc.identifier.citationErcan, A., Karan, B., & Cakar, T. (2022). Köpek Gezdirici Segmentasyonu Dog Walker Segmentation. 2022 30th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu55565.2022.986496en_US
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864967-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1906-
dc.description.abstractIn this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After normalizing, K Means algorithm and Gaussian Mixture Models used for finding optimum cluster count. According to these clusters, walkers' consecutive months separated to follow-up their behavioral traits. This part of the study adds value to the project to examine walkers' behaviors closer. © 2022 IEEE.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDogen_US
dc.subjectClusteringen_US
dc.subjectKmeansen_US
dc.subjectDog walkersen_US
dc.subjectRfmen_US
dc.subjectGmmen_US
dc.subjectSegmentationen_US
dc.titleDog Walker Segmentationen_US
dc.title.alternativeKöpek Gezdirici Segmentasyonuen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/SIU55565.2022.9864967-
dc.identifier.scopus2-s2.0-85138682529en_US
dc.authoridÇakar, Tuna / 0000-0001-8594-7399-
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - Kurum Öğretim Elemanıen_US
dc.departmentMühendislik Fakültesi, Bilgisayar Mühendisligi Bölümüen_US
dc.relation.journal2022 30th Signal Processing and Communications Applications Conference, Siu 2022en_US
dc.institutionauthorÇakar, Tuna-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1tr-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.02. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
Kpek_Gezdirici_Segmentasyonu_Dog_Walker_Segmentation.pdfFull Text - Article931.92 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

Page view(s)

30
checked on Nov 18, 2024

Download(s)

12
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


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