Conference Proceedings

Hybrid learning vector quantization

Proceedings of the International Joint Conference on Neural Networks (1993) 3 2587-2590
DOI: 10.1109/ijcnn.1993.714253
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Abstract

In this paper, a hybrid learning vector quantization algorithm is proposed. It modifies both the position of representative points and normalization parameters. Some of the experiments are operated on the synthetic and real data. The results show that the proposed hybrid learning vector quantization algorithm is applicable.

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Lai, Y. C., Yu, S. S., & Chou, S. L. (1993). Hybrid learning vector quantization. In Proceedings of the International Joint Conference on Neural Networks (Vol. 3, pp. 2587–2590). Publ by IEEE. https://doi.org/10.1109/ijcnn.1993.714253

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