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Improvement on a Fuzzy C-Means Algorithm Based on Genetic Algorithm

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Abstract:

Weighting exponent m is an important parameter in fuzzy c-means(FCM) algorithm. In this paper, an approach based on genetic algorithm is proposed to improve the FCM clustering algorithm through the optimal choice of the parameter m. Experimental results show that the better clustering results are obtained through the new algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 614)

Pages:

385-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.614.385

Citation:

Cite this paper

Online since:

September 2014

Authors:

Guo Chen Jiang*, Zhi Jian Sun

Keywords:

Clustering Analysis, Fuzzy C-Means Algorithm, Genetic Algorithm (GA), Weighting Exponent

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

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