Clustering of Indonesian forest fires using self organizing maps
This paper focuses on clustering the locations of Indonesian forest fires and visualizing them into a two-dimensional map using a self-organizing map (SOM) algorithm. The input data is based on the quantity of the hot spots of forest fires that spread in several locations within ten months period. W...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institut Teknologi Brunei
2006
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| Online Access: | http://eprints.utm.my/3099/1/journal-BJTC.pdf |