Classification of the NATO Countries with Respect to Defence Spending Patterns: An Unsupervised Clustering Approach

• DOI: 10.17134/khosbd.1101724
• Publication Date: 2022-04-11T11:33:43Z
• Authors: Mehmet ÖZCAN
• Keywords: Empirical Research; Hierarchical clustering

Although there has been growing interest in defence expenditure studies recent years, no necessary attention paid literature to empirical analysis of composition expenditure. However, limited number non-empirical state that understanding military budget a country reveals remarkable insights about its economic condition and strategy policy choices the future. The purpose this study gain further basic differences allocation between NATO ally counties. To fulfil aim, K-Means clustering approach is used three main groups are found with dataset formed by four categories. Moreover, reliability results proven additional such as hierarchical K-Medoids methods. Empirical findings countries could be categorised into which named equipment intense cluster, personnel balanced cluster.