Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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.

Full text not available from this repository.


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Status: Unpublished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:
Last Modified: 20 Oct 2017 09:03

Citation Data

Cited 3 times in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item