eng Science and Education Publishing American Journal of Applied Mathematics and Statistics 2328-7292 2019-09-17 7 5 161 166 10.12691/ajams-7-5-1 AJAMS2019751 article Qingyun Wang 1 Yayuan Xiao yxiao3@bsu.edu 2 School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China, 341000 Department of Mathematical Sciences, Ball State University, Muncie, USA, 47306 Terrorism is a common threat to humanity. An in-depth analysis of data related to terrorist attacks provides a deeper knowledge of terrorism that is valuable to counter-terrorism. In this paper, we analyzed the terrorist incident data in the United States in 1998-2017. Through cluster analysis, we speculated the possible suspects of terrorist incidents by unknown perpetrators and analyzed the credibility of those results. http://pubs.sciepub.com/ajams/7/5/1/ajams-7-5-1.pdf terrorist attack suspect incident data cluster k-mode