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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Status: Unpublished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.
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Last Modified: 20 Oct 2017 09:03
URI: http://orca.cf.ac.uk/id/eprint/22340

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