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Kümeleme Analizi ile Sağlık Göstergelerine Göre Türkiye deki İllerin Sınıflandırılması
Author(s) -
Şenol Çelik
Publication year - 2013
Publication title -
doğuş üniversitesi dergisi
Language(s) - English
Resource type - Journals
eISSN - 1308-6979
pISSN - 1302-6739
DOI - 10.31671/dogus.2018.105
Subject(s) - physics , humanities , philosophy
Cluster analysis is a classification method that is used to arrange a set of form into clusters. The aim of this method is to classify a set of clusters such that cases within a cluster are more similar to each other and to submit summary information of the data to researchers. Cluster analysis is an extensively used multivariate statistical method in especially medicine, agriculture, engineering and social sciences. In this study, 10 health variables are used to determine the homogeneous province groups relating to data of 81 provinces. For this reason the cluster method has been selected. By using 2010 health data obtained from TSI, the provinces are clustered according to the health structure. During the determination process of the number of clusters for 81 provinces, the results of 7, 10 and 15 clusters are examined. As a consequence of the analysis, the provinces having the worst conditions are also determined according to the health data.

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