Classifying OECD Countries According to Health Indicators Using Fuzzy Clustering Analysis Cover Image

OECD Ülkelerinin Sağlık Göstergelerine Göre Bulanık Kümeleme Analizi İle Sınıflandırılması
Classifying OECD Countries According to Health Indicators Using Fuzzy Clustering Analysis

Author(s): Nesrin Alptekin, Gözde Yeşilaydın
Subject(s): Methodology and research technology, Evaluation research, Health and medicine and law
Published by: Orhan Sağçolak
Keywords: Fuzzy Clustering Analysis; OECD; Health Indicators;

Summary/Abstract: This study was conducted in order to classify OECD countries according to health indicators using fuzzy clustering analysis, to identify the cluster in which Turkey is in and the other countries located in the same cluster with Turkey and to determine whether Turkey shows similar characteristics with other countries located in the same cluster or not. In the study, 34 OECD member countries were discussed. With ten variables that directly and indirectly affect the health, c-means clustering analysis was performed. The NCSS 10 software package was used to analyze the data. In the analysis, it was determined that the most appropriate cluster number is five; three countries involved in the first cluster, nine countries involved in the second cluster, nine countries involved in the third cluster, six countries involved in the fourth cluster and seven countries involved in the fifth cluster. Turkey is located in the fourth cluster. Other countries in the same cluster along with Turkey are Estonia, Hungary, Mexico, Poland and Chile.

  • Issue Year: 7/2015
  • Issue No: 4
  • Page Range: 137-155
  • Page Count: 19
  • Language: Turkish
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