K-Medoids and Fuzzy C-Means Algorithms for Clustering Co2 Emissions of Turkey and Other Oecd Countries

Abstract

One of the most fundamental problems of societies is environmental problems that have emerged as the result of human behaviors which can be summarized as "dominating nature" and "using nature carelessly". The main causes of climate change and greenhouse gas emissions, which are considered to be most important environmental problem nowadays, are used of fossil fuel resources intensively in order to overcome the energy requirement. Carbon dioxide (CO2) is the largest share of greenhouse gas emissions. To reduce CO2 emissions, significant studies have been done in the world. In this study, we tried to classify member countries of OECD according to CO2 emissions indicators from fossil fuel consumption. For the clustering, both the classical cluster analysis and the fuzzy cluster analysis were implemented. The clusters obtained from both methods are simply interpreted.