A novel cluster validity criterion for fuzzy c-regression model clustering algorithm
null Chung-Chun Kung; null Jui-Chun Hung;
A novel cluster validity criterion for fuzzy c-regression model clustering algorithm
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.
- Tatung University Taiwan
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 4
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