Application of the Bees Algorithm to fuzzy clustering

Pham, Duc Truong, AL-Jabbouli, H., Mahmuddin, M., Otri, Sameh and Haj Darwish, A. 2008. Application of the Bees Algorithm to fuzzy clustering. Presented at: 4th International Virtual Conference on Intelligent Production Machines and Systems (IPROMS 2008), Scotland, 2008.

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Abstract

This paper discusses the application of the Bees Algorithm to fuzzy clustering. The Bees Algorithm is used to optimise the performance of the fuzzy C-Means (FCM) algorithm and improve its clustering results. Computational experiments show that the Bees Algorithm gives a significant improvement over the FCM algorithm on its own and better results compared to the FCM algorithm combined with a Genetic Algorithm.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Completion
Status:	Unpublished
Schools:	Social Sciences (Includes Criminology and Education)
Subjects:	H Social Sciences > H Social Sciences (General)
Uncontrolled Keywords:	Bees Algorithm, Genetic Algorithm, Fuzzy Data Clustering, Optimisation.
Related URLs:	Organisation
Last Modified:	20 Oct 2017 09:03
URI:	https://orca.cardiff.ac.uk/id/eprint/22340

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