The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation

Abstract

Kohonen's Self-Organizing Map (SOM) network maps input data to a lower dimensional output map. The extended SOM network further groups the nodes on the output map into a user specified number of clusters. Kiang, Hu and Fisher used the extended SOM network for market segmentation and showed that the extended SOM provides better results than the statistical… (More)
DOI: 10.1109/HICSS.2005.590

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@article{Kiang2005TheEO, title={The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation}, author={Melody Y. Kiang and Michael Y. Hu and Dorothy M. Fisher and Robert T. H. Chi}, journal={Proceedings of the 38th Annual Hawaii International Conference on System Sciences}, year={2005}, pages={73b-73b} }