@article{2017,title={Classifying OECD Countries According to Health Indicators Using Clustering Analysis},abstractNode={The aim of this study is to classify OECD countries by clustering analysis according to health indicators. In this study, according to the cluster analysis, it has been determined which OECD countries are similar to Turkey. The indicators that were effective in the cluster of countries were examined and the differences between the clusters were assessed. The number of physicians, number of hospital beds, health expenditure as a share of GDP, the percentage of children with measles vaccination, gini coefficient, percentage of daily smoking adults over the age of 15, schooling rate for adults aged 25-64, life expectancy at birth and infant mortality rate used as a health indicator in the study. Firstly, hierarchical clustering methods were used to determine the cluster number. After the number of clusters was determined, the K-means clustering method was applied and Turkey was found to be in the same cluster as Mexico and Chile. All of the health indicators used for the cluster of countries were found to be significantly effective (p <0.05). It’s seen that the cluster which is Turkey in it, has the lowest level of avarage life expectancy at birth and also the highest level of avarage infant mortality rate.},author={Sinem MUT-& Çağdaş Erkan AKYÜREK},year={2017},journal={Journal of Academic Value Studies (JAVStudies)}}