M.M. van Hulle
- Analyzing domestic violence with topographic maps: a comparative study
- Lecture Notes in Computer Science
- Pages (from-to)
- Document type
- Faculty of Economics and Business (FEB)
- Amsterdam Business School Research Institute (ABS-RI)
Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the recent years, several variations on the Self Organizing Maps (SOM) were introduced in the literature. In this paper, the toroidal Emergent SOM tool and the spherical SOM are used to analyze a text corpus consisting of police reports of all violent incidents that occurred during the first quarter of 2006 in the police region Amsterdam-Amstelland (The Netherlands). It is demonstrated that spherical topographic maps provide a powerful instrument for analyzing this dataset. In addition, the performance of the toroidal Emergent SOM is compared to that of the spherical SOM, and it turned out to be superior to that of an ordinary classifier, applied directly to the data.
- go to publisher's site
- Proceedings title: Advances in self-organizing maps: 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10,
Place of publication: Berlin
Editors: J.C. Príncipe, R. Miikkulainen
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