Publication: An Automated Clustering Algorithm based on Agglomerative Clustering
| dc.authorscopusid | 57190740122 | |
| dc.authorscopusid | 22953804000 | |
| dc.contributor.author | Karabina, A. | |
| dc.contributor.author | Kilic, E. | |
| dc.date.accessioned | 2025-12-10T23:16:55Z | |
| dc.date.issued | 2016 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Karabina] Armagan, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kilic] Erdal, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey | en_US |
| dc.description.abstract | The most important one of main problems for K-based clustering algorithm is randomly selected k parameter when running the algorithm. In this study, an automated clustering algorithm based on agglomerative clustering and clusters without taking k parameter from user have been proposed. The main objective of the study is to select correct k value by using Spearman's Correlation Coefficient. This newly proposed automatic k parameter selection method's performance was examined in the study. © 2016 IEEE. | en_US |
| dc.identifier.doi | 10.1109/SIU.2016.7496111 | |
| dc.identifier.endpage | 1804 | en_US |
| dc.identifier.isbn | 9781509016792 | |
| dc.identifier.scopus | 2-s2.0-84982822164 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 1801 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2016.7496111 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/35322 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | -- 24th Signal Processing and Communication Application Conference, SIU 2016 -- 2016-05-16 Through 2016-05-19 -- Zonguldak -- 122605 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Agglomerative Clustering | en_US |
| dc.subject | Correct K Value Selection | en_US |
| dc.subject | K Clustering | en_US |
| dc.subject | Unsupervised Learning | en_US |
| dc.title | An Automated Clustering Algorithm based on Agglomerative Clustering | en_US |
| dc.title.alternative | Toplayıcı Kümeleme Tabanlı Otomatik Bir Kümeleme Algoritması | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication |