Combining Geo-SOM and Hierarchical Clustering to Explore Geospatial Data
Author:
Affiliation:
1. Department of Geography; National University of Singapore
Publisher
Wiley
Subject
General Earth and Planetary Sciences
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/tgis.12025/fullpdf
Reference45 articles.
1. Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns;Andrienko;Computer Graphics Forum,2010a
2. GeoVA(t) - Geospatial Visual Analytics: Focus on time;Andrienko;International Journal of Geographical Information Science,2010b
3. Geo-Self-Organizing Map (Geo-SOM) for Building and Exploring Homogeneous Regions
4. Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems
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