Analyzing domestic violence with topographic maps: a comparative study

Authors
  • M.M. Van Hulle
Publication date 2009
Host editors
  • J.C. Príncipe
  • R. Miikkulainen
Book title Advances in Self-Organizing Maps
Book subtitle 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009 : proceedings
ISBN
  • 9783642023965
ISBN (electronic)
  • 9783642023972
Series Lecture Notes in Computer Science
Event 7th International Workshop on Self-Organizing Maps (WSOM 2009), St. Augustine, FL, USA
Pages (from-to) 246-254
Publisher Berlin: Springer
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
Abstract
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-02397-2_28
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