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