Effects of irregular topology in spherical self-organizing maps

Charles R. Schmidt, Sergio J. Rey, André Skupin

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The authors explore the effect of different topologies on properties of self-organizing maps (SOM). They suggest several diagnostics for measuring topology-induced errors in SOM and use these in a comparison of four different topologies. The results show that SOM is less sensitive to localized irregularities in the network structure than the literature may otherwise suggest. Further, the results support the use of spherical topologies as a solution to the boundary problem in traditional SOM.

Original languageEnglish (US)
Pages (from-to)215-229
Number of pages15
JournalInternational Regional Science Review
Issue number2
StatePublished - Apr 1 2011


  • border effect
  • neural networks
  • self-organizing maps
  • topology
  • visualization

ASJC Scopus subject areas

  • Environmental Science(all)
  • Social Sciences(all)


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