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Fuzzy c-regression model with a new cluster validity criterion

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2 Author(s)
Chung-Chun Kung ; Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan ; Chih-Chien Lin

In this paper, a new cluster validity criterion designed for a fuzzy c-regression model algorithm with hyperplane-shaped cluster representatives is proposed. The simulation results show that the proposed cluster validity criterion is able to indicate the number of clusters correctly if the data have a hyperplane-type structure

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002