Clustering of Indonesian forest fires using self organizing maps

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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...

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Bibliographic Details
Main Authors:	Selamat, Ali, Selamat, Md. Hafiz
Format:	Article
Language:	English
Published:	Institut Teknologi Brunei 2006
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/3099/ http://eprints.utm.my/3099/1/journal-BJTC.pdf

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