چکیده (انگلیسی):

Clustering task aims at the unsupervised classification of patterns in different groups. To enhance the quality
of results, the emerging swarm-based algorithms now-a-days become an alternative to the conventional
clustering methods. In this study, an optimization method based on the swarm intelligence algorithm is
proposed for the purpose of clustering. The significance of the proposed algorithm is that it uses a Fuzzy CMeans
(FCM) operator in the Artificial Bee Colony (ABC) algorithm. The area of action of the FCM operator
comes at the scout bee phase of the ABC algorithm as the scout bees are introduced by the FCM operator. The
experimental results have shown that the proposed approach has provided significant results in terms of the
quality of solution. The comparative study of the proposed approach with existing algorithms in the literature
using the datasets from UCI Machine learning repository is satisfactory.