Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1906
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dc.contributor.authorErcan Alperen-
dc.contributor.authorKaran Baris-
dc.contributor.authorÇakar Tuna-
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://hdl.handle.net/20.500.11779/1906-
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864967-
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.subjectClusteringen_US
dc.subjectdogen_US
dc.subjectdog walkersen_US
dc.subjectGMMen_US
dc.subjectKMeansen_US
dc.subjectRFMen_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.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeConference Object-
crisitem.author.dept02.02. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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