Seçilmiş ülkelerin nüfus, GSYİH, mal ve hizmetlerin ihracatı değişkenlerine göre hiyerarşik kümelenmesi

Year 2021, , 1328 - 1339, 13.10.2021

Seyyid Ali Ertaş , Mehmet Batı

https://doi.org/10.25287/ohuiibf.868753

Abstract

Bu çalışmada, 32 ülkenin 25 yıllık; nüfus, gayri safi yurtiçi hasıla (GSYİH) ve mal ve hizmet ihracatındaki değişimleri arasındaki ilişkiler yıllık olarak incelenmektedir. 1991-2016 yılları arasında ülkelerin GSYİH, nüfus ve mal ve hizmet ihracatındaki yıllık değişimler arasındaki ilişkiyi açıklamak için minimum örten ağaç (MST) ve hiyerarşik ağaç (HT) gibi hiyerarşik yapı yöntemleri kullanılmıştır. MST ve HT'yi kullanarak, bazı değişkenlerle aynı ekonomik kalkınma düzeyine sahip ülkeleri elde ettik. Aynı zamanda, hangi ülkenin nüfusunun, GSYİH'sının ve mal ve hizmet ihracatındaki yıllık değişikliklerin benzer değişime sahip olduğunu görme fırsatı da elde ettik. Son olarak, küme yapısını gözlemlemek için kümeleme yöntemlerini kullandık. Bu topoloji, bize değişkenlerin davranışlarını anlamak ve karmaşık bir ağın parçası olarak ağdaki baskın ilişkili ülkeleri tanımlamak için yararlı bir kılavuz sağlamaktadır.

Keywords

Hiyerarşik kümeleme, Minimum Örten Ağaç, Hiyerarşik ağaç, Nüfus, Gayri Safi Yurtiçi Hasıla

Hierarchical clustering of selected countries according to the variables of population, national income and exports of goods and services

Abstract

The changes in the population, gross domestic product (GDP) and exports of goods and services of the 32 countries that we have selected for 25 years have annually been examined. In this study, we use hierarchical structure methods such as minimum spanning tree (MST) and hierarchical tree (HT) to explain the relationship between countries' GDP, population, and annual changes in exports of goods and services from 1991 to 2016. Using MST and HT, we obtained the countries with the same economic development level as some variables. At the same time, we obtained the opportunity to see which country's population, GDP, and annual changes in exports of goods and services are at a similar change. Finally, for observing the cluster structure, we use a clustering linkage procedure. This topology will provide us with a useful guide to understanding their behavior and identifying the dominant associated countries in the network as part of a complicated network.

Keywords

Hierarchical clustering, Minimum spanning tree, Hierarchical tree, Population, Gross domestic product, Exports

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