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

Chung-Chun Kung Chung-Chun Kung,Jui-Chun Hung Jui-Chun Hung

doi:10.1109/fuzz.2003.1206630

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

Chung-Chun Kung Chung-Chun Kung, Jui-Chun Hung Jui-Chun Hung

https://doi.org/10.1109/fuzz.2003.1206630

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Publication Date: May 25, 2003

Citations: 4

Affiliation: Tatung University

#Fuzzy C-regression Model Clustering Algorithm #Fuzzy C-regression Model + Show 8 more

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Abstract

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.

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