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What is Simple K-Means Clustering

Handbook of Research on SDGs for Economic Development, Social Development, and Environmental Protection
K-means is one of the most commonly used clustering algorithms. The method initially selects K randomly from the data set and generates K membership clusters. It is aimed that the intra-cluster similarity is maximum and the inter-cluster similarity is minimum.
Published in Chapter:
A Triple-Bottom-Line Approach-Based Clustering Study for the Sustainable Development Goals of the European Countries: Sustainable Development Concept
Esin Kişi (Süleyman Demirel University, Turkey) and Mustafa Zihni Tunca (Süleyman Demirel University, Turkey)
DOI: 10.4018/978-1-6684-5113-7.ch015
Abstract
The Sustainable Development Goals (SDGs) are universal actions that provide a common plan and agenda to maintain the balance of sustainability and development. This study is aimed to measure and analyze the sustainability performances of the European countries in the context of Sustainable Development Goals in three (social, economic, and environmental) dimensions. In this respect, it is aimed to cluster the countries within the scope of the European Economic Area according to their success in achieving each sustainable development goal with its social, environmental, and economic dimensions. This study highlights the similar European country groups based on social, economic, and environmental dimensions in terms of sustainable development. The study also enables us to identify the development topics where the clusters obtained as a result of the analysis are weak and strong. The findings of this chapter create a point of view to determine development politics for countries.
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