Homicide and Its Social Context: Analysis Using the Self-Organizing Map

被引:1
作者
Li, Xingan [1 ]
Joutsijoki, Henry [1 ]
Laurikkala, Jorma [1 ]
Siermala, Markku [1 ]
Juhola, Martti [1 ]
机构
[1] Univ Tampere, Sch Informat Sci, Tampere 33014, Finland
关键词
Conformal mapping - Crime - Data handling;
D O I
10.1080/08839514.2015.1016774
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Homicide is one of the most serious kinds of offenses. Research on causes of homicide has never reached a definite conclusion. The purpose of this article is to put homicide in its broad range of social context to seek correlation between this offense and other macroscopic socioeconomic factors. This international-level comparative study used a dataset covering 181 countries and 69 attributes. The data were processed by the Self-Organizing Map (SOM) assisted by other clustering methods, including ScatterCounter for attribute selection, and several statistical methods for obtaining comparable results. The SOM is found to be a useful tool for mapping criminal phenomena through processing of multivariate data, and correlation can be identified between homicide and socioeconomic factors.
引用
收藏
页码:382 / 401
页数:20
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