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Robust SOM Clustering

Perez, Joan; Fusco, Giovanni

This R script performs a combined SOM/SuperSOM clustering of the 640 administrative districs of India. Fowlkes-Mallows Similarity Index is used to identify robust initializations of the clustering. Data_India.txt is a specially conceived geographic database of 55 indicators, covering issues of economic activity, urban structure, socio-demographic development, consumption levels, infrastructure endowment and  basic geographical positioning within the Indian space. Data refer to 2011 or to 2001-2011 evolutions.

Robust SOM Clustering is part of the R-Geo-Soft Models Project.
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Data_India.txt
md5:c3f64c755f941b7048d8d6526e24ad05
193.3 kB Download
district_distance.xlsx
md5:881771441eb1e20beeaa090973404d5e
33.4 kB Download
ROBUST SOM CLUSTERING.R
md5:b841b34c1343ec894096e90790032b19
26.1 kB Download
  • Fusco G., Perez J., 2015, Spatial Analysis of the Indian Subcontinent: the Complexity Investigated through Neural Networks, CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management, MIT, Cambridge (Ma.), July 5th-7th 2015, Proceedings, 287, 1-20, http://web.mit.edu/cron/project/CUPUM2015/proceedings/Content/analytics/287_fusco_h.pdf
  • Perez J., 2015, Spatial Structures in India in the Age of Globalisation. A Data-Driven Approach, Phd in geography, University of Avignon (France)
  • Wehrens R., Buydens L., 2007, Self- and Super-organizing Maps in R: The ko-honen Package, Journal of Statistical Software, Vol. 21, Issue 5.
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