Exploratory Data Analysis By The Self-Organizing Map: Structures Of Welfare And Poverty In The World (1996)
| Venue: | Neural Networks in Financial Engineering. Proceedings of the Third International Conference on Neural Networks in the Capital Markets |
| Citations: | 32 - 4 self |
BibTeX
@INPROCEEDINGS{Kaski96exploratorydata,
author = {S. Kaski and T. Kohonen},
title = {Exploratory Data Analysis By The Self-Organizing Map: Structures Of Welfare And Poverty In The World},
booktitle = {Neural Networks in Financial Engineering. Proceedings of the Third International Conference on Neural Networks in the Capital Markets},
year = {1996},
pages = {498--507},
publisher = {World Scientific}
}
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Abstract
this article a case study that demonstrated how the SOM can be used to visualize a large statistical data set. The set consisted of 39 indicators, which described different aspects of the welfare "states" of the countries of the world. Following exactly the same procedures the SOM could also be used as a decision-support system for analyzing and visualizing sets of statistical indicators in other similar applications. For instance, the method has already been used for the analysis of states of banks.
Citations
| 2729 | Self-organizing maps - Kohonen - 2001 |
| 1753 | Dubes, Algorithms for Clustering Data - Jain, C - 1988 |
| 481 | World Development Report - Bank - 1995 |
| 117 | Som pak: The self-organizing map program package - Kohonen, Hynninen, et al. - 1996 |
| 1 | Network 3 - Samad, Harp - 1992 |
| 1 | des Schweizerischen Elektrotechnischen Vereins & des Verbandes Schweizerischer Elektrizitatswerke 83 - Blayo, Demartines, et al. - 1992 |
