Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems

Research output: Chapter in Book/Report/Conference proceedingChapter

24 Citations (Scopus)

Abstract

This chapter contains sections titled:

Introduction

Some Important Parametrizations of the Original SOM Algorithm

Ways to Change the Original SOM Algorithm

Geo‐Variants – Including Geographic Reasoning in the SOM

Experimental Results with Artificial Data

Example of the use of the Geo‐SOM

Conclusions

References
Original languageEnglish
Title of host publicationSelf-Organising Maps
Subtitle of host publicationApplications in Geographic Information Science
EditorsPragya Agarwal , André Skupin
PublisherWiley
Pages21-44
Number of pages24
ISBN (Electronic)9780470021699
ISBN (Print)9780470021675
DOIs
Publication statusPublished - 1 Jan 2008

Keywords

  • Geo-SOM in geographic data exploration
  • Geographical Hypermap
  • Hierarchical SOMs
  • Knowledge discovery in databases (KDD)
  • Neural Gas Architecture (NGA)
  • SOM variants and GIScience
  • Spatial-Kangas Map

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  • Cite this

    Bação, F., Lobo, V., & Painho, M. (2008). Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems. In P. Agarwal , & A. Skupin (Eds.), Self-Organising Maps: Applications in Geographic Information Science (pp. 21-44). Wiley. https://doi.org/10.1002/9780470021699.ch2