A Comparison of Clustering Algorithm Based on Bee Colony

Mohammadjavad Hosseinpoor, Behnam Baghban, Mahnaz Mehdipoor


Clustering is one of the important approaches of data mining that can be used for data analysis and is applicable in different fields. Clustering divides those groupings which are more similar in the case of interest parameters. Bee colony algorithm is one of the existing algorithms for clustering. The bee colony algorithm is one of the new stochastic optimization that is inspired by the collective behavior of bees. One problem with this algorithm is late converging and trapping in local optimum. This article compares the bee colony algorithms which are proposed to solve the problem of clustering. The results of comparison show that the performance of algorithms combined with bees contains more accuracy in comparison with their individual performances as well as k-means clustering algorithm.


clustering, artificial bee colony algorithm, k-means, IABC algorithm, HABC algorithm.


Yongguo Liu, Xindong Wu, Yidong Shen, Automatic Clustering using genetic algorithms, Applied Mathematiecs and Computation, Elsevier 218, pp.1267-1279,2011

Zheng.Y and liu.SH and Shi.Z, " CSIM: a document clustering algorithm based on swarm intelligence", EvolotionaryComputaion, valumel,pp 477-482,2002

Changsheng.Z, Dantong,O and jiaxn.N, "AN artifial bee colony approach for clustering", Expert systems with Applications,valume 37,ISSue7 ,pp4761-4767,yuly 2010.

MJ.,Hosseinpoor, H., Kazemi., “Present a New Middleware to Control and Management Database Distributed Environment”, International Journal of Emerging Technology and Advanced Engineering, PP: 547-552., 2013.

A.K. Jian,M.N.Murty , P.J. Flynn, Data clustering: a review,ACMComput, Surveys31(3) (1999) 264-323

D.karaboga , "An idea based on Honey Bee Swarm for Numerical Optimization,"2005

Maleki.,F., “ Proposing improve Bee Colony algorithm for clustering”, Iranian intelligence systems conference, kharazmi university, Tehran, 2013.[In Persian].

khoshnazar., shokofeh., “ Data clustering using by hybrid Bee colony algorithm”, Iranian Power and Electronica Conference, Gonabad, 2014.[ In Persian].

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