Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.

Original languageEnglish
Title of host publication2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010
PublisherIEEE Computer Society
Pages148-152
Number of pages5
ISBN (Print)9780769539515
DOIs
Publication statusPublished - 1 Jan 2010
Event2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 - St. Maarten
Duration: 10 Feb 201016 Feb 2010

Conference

Conference2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010
CitySt. Maarten
Period10/02/1016/02/10

Keywords

  • Exploratory data analysis
  • GeoSOM
  • Spatial clustering

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