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
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 language | English |
|---|---|
| Title of host publication | Self-Organising Maps |
| Subtitle of host publication | Applications in Geographic Information Science |
| Editors | Pragya Agarwal , André Skupin |
| Publisher | Wiley |
| Pages | 21-44 |
| Number of pages | 24 |
| ISBN (Electronic) | 9780470021699 |
| ISBN (Print) | 9780470021675 |
| DOIs | |
| Publication status | Published - 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