Detecting serial residential burglaries using clustering
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.
decision support system residential burglary analysis cut clustering crime clustering