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A novel cluster validity criterion for fuzzy c-regression model clustering algorithm

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

This paper proposes a novel cluster validity criterion for the fuzzy c-regression model (FCRM) clustering algorithm. The goal of the proposed cluster validity criterion is to decide the appropriate number of clusters in a FCRM. The simulation results demonstrate its validness and effectiveness.

Published in:

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

25-28 May 2003