Published February 12, 2019
| Version 1.2
Software
Open
Robust-SOM-Clustering
Creators
- 1. UMR 7300 Espace-CNRS, University of Côte d'Azur, Nice, France.
Description
This release allows performing a combined SOM/SuperSOM clustering of the 640 administrative districts 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. A shapefile of the Indian district is attached allowing to map the results. v.1.2 contains - R Script (Robust SOM Clustering v1.2) - Data set (Data_India.txt) - Archive of shapefiles for the Indian districts of 2011 (District_2011.zip) - Fusco G., Perez J., 2015, Spatial Analysis of the Indian Subcontinent: the Complexity Investigated through Neural Networks - README.txt # References: [1] Wehrens R., Buydens L., 2007, Self- and Super-organizing Maps in R: The ko-honen Package, Journal of Statistical Software, Vol. 21, Issue 5. [2] 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 [3] Perez J., 2015, Spatial Structures in India in the Age of Globalisation. A Data-Driven Approach, Phd in geography, University of Avignon (France)
Notes
Files
perezjoan/Robust-SOM-SuperSOM-Clustering-v1.2.zip
Files
(5.8 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/perezjoan/Robust-SOM-SuperSOM-Clustering/tree/v1.2 (URL)