Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1906
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ercan Alperen | - |
dc.contributor.author | Karan Baris | - |
dc.contributor.author | Çakar Tuna | - |
dc.date.accessioned | 2023-03-06T06:53:16Z | |
dc.date.available | 2023-03-06T06:53:16Z | |
dc.date.issued | 2022 | - |
dc.identifier.citation | Ercan, 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/siu55565.2022.986496 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/1906 | - |
dc.identifier.uri | https://doi.org/10.1109/SIU55565.2022.9864967 | - |
dc.description.abstract | In 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.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Clustering | en_US |
dc.subject | dog | en_US |
dc.subject | dog walkers | en_US |
dc.subject | GMM | en_US |
dc.subject | KMeans | en_US |
dc.subject | RFM | en_US |
dc.subject | Segmentation | en_US |
dc.title | Dog Walker Segmentation | en_US |
dc.title.alternative | Köpek Gezdirici Segmentasyonu | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/SIU55565.2022.9864967 | - |
dc.identifier.scopus | 2-s2.0-85138682529 | en_US |
dc.authorid | Çakar, Tuna / 0000-0001-8594-7399 | - |
dc.relation.publicationcategory | Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı | en_US |
dc.department | Mühendislik Fakültesi, Bilgisayar Mühendisligi Bölümü | en_US |
dc.relation.journal | 2022 30th Signal Processing and Communications Applications Conference, Siu 2022 | en_US |
dc.institutionauthor | Çakar, Tuna | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.languageiso639-1 | tr | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairetype | Conference Object | - |
crisitem.author.dept | 02.02. 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 | Size | Format | |
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Kpek_Gezdirici_Segmentasyonu_Dog_Walker_Segmentation.pdf | Full Text - Article | 931.92 kB | Adobe PDF | View/Open |
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