A novel cluster validity criterion for fuzzy c-regression model clustering algorithm
Chung‐Chun Kung, Jui-Chun Hung · 2004
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.