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Self-Organising Maps

Applications in Geographic Information Science



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Self-Organising Maps
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Self--Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application--areas in the biophysical and socio--economic environments. Only book that takes SOM algorithm to the GIS and Geography research communities The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study
Release date Australia
February 29th, 2008
Edited by Andre Skupin Edited by Pragya Agarwal
Country of Publication
United States
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