Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity

Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new crimes. In this sense, spatio-temporal models are widely employed by their capa...

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Bibliographic Details

Main Author:	Jaramillo, Francisco (author)
Other Authors:	L. Quintero, Vanessa (author), Perez, Aramis (author), Orchard, Marcos (author)
Format:	article
Language:	English
Published:	2017
Subjects:	Gaussian Mixture Model criminal risk characterization Neural Gas Theory
Online Access:	http://ridda2.utp.ac.pa/handle/123456789/6153
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