Dış ticaret verileri için kümeleme analizi: Türkiye, Azerbaycan ve Kazakistan örneği
Yükleniyor...
Dosyalar
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SOSYOEKONOMİ SOC
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Foreign trade is one of the most critical sources of welfare. Factors such as population, per capita income, and the distance between countries is among the crucial determinants of foreign trade. This paper aims to cluster the data set regarding the export and import of Turkey and Turkic Republics by considering other determinants of foreign trade for 2017. In this study, Kazakhstan and Azerbaijan, of which data sets are available, are considered, and Turkey. For this paper, K-means, Ward hierarchical clustering, and self-organizing maps are used. The findings of this paper present detailed evidence as to the export and import of the countries handled.
Açıklama
Anahtar Kelimeler
Foreign Trade, Clustering, K-Means, Algorithm, Map, Countries
Kaynak
Sosyoekonomi
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
29
Sayı
48
Künye
Çılgın, C. & Kurt, A. S. (2021). Dış Ticaret Verileri İçin Kümeleme Analizi: Türkiye, Azerbaycan ve Kazakistan Örneği. Sosyoekonomi, 29 (48) , 511-540 . DOI: 10.17233/sosyoekonomi.2021.02.24
