Detecting serial residential burglaries using clustering

作者：

Highlights：

• A decision support system for residential burglary analysis is presented.

• A systematic data collection method for residential burglaries is introduced.

• Clustering is used to group residential burglaries, better than a random guesser.

• Target characteristics or spatial distance are the best performing distance metrics.

摘要

•A decision support system for residential burglary analysis is presented.•A systematic data collection method for residential burglaries is introduced.•Clustering is used to group residential burglaries, better than a random guesser.•Target characteristics or spatial distance are the best performing distance metrics.

论文关键词：Cut clustering,Residential burglary analysis,Crime clustering,Decision support system

论文评审过程：Available online 28 February 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.02.035