详情

原文传递 Forecasting Country Conflict Within Modified Combatant Command Regions Using Statistical Learning Methods.

题名：	Forecasting Country Conflict Within Modified Combatant Command Regions Using Statistical Learning Methods.
作者：	Neumann, S.
关键词：	Computer programs, Digital data, Economics, Mathematics, Notation, Social sciences, System software, Digital information, Law, Copyrights, Money, Trademarks, Identities, Metadata, Coding, Intellectual property, Operating systems, Country conflict forecasting, Combatant commands, Clustering analysis
摘要：	Conflict forecasts are crucial to Combatant Commanders understanding of the dynamic environment encompassing countries within their area of responsibility. Thecurrent structure of the Combatant Commands (COCOMs) is rooted in geography by grouping nations in geographic proximity to the same regional command. However, leaders today question the effectiveness of the current structure. A novel modified k-means clustering algorithm is developed and implemented that groups countries based on data similarities and geographic proximity resulting in new COCOM groupings that improve conflict forecasts.
报告类型：	科技报告