search query: @author Balakrishnan, P. / total: 2
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| Author: | Balakrishnan, P. |
| Title: | Comparative performance of the FSCL neural net and K-means algorithm for market segmentation |
| Journal: | European Journal of Operational Research
1996 : SEP 6, VOL. 93:2, p. 346-357 |
| Index terms: | MARKETING NEURAL NETWORKS SEGMENTATION |
| Language: | eng |
| Abstract: | Given the success of neural networks in a variety of applications in engineering , such as speech and image quantization, it is natural to consider its application to similar problems in other domains. A related problem that arises in business is market segmentation for which clustering techniques are used. In this paper, the authors explore the ability of a specific neural network, namely the Frequency-Sensitive Competitive Learning Algorithm (FSCL), to cluster data for developing strategic marketing decisions. |
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