Future Information Technology pp 607-612 | Cite as
Data Clustering Using Particle Swarm Optimization
Conference paper
Abstract
K-Means clustering algorithm attracts increasing focus in recent years. A pending problem of K-Means clustering algorithm is that the performance is affected by the original cluster centers. In this paper the K-Means algorithm is improved by particle swarm optimization and the initial cluster centers are generated by particle swarm optimization..The experiments and comparisons with the classical K-Means algorithm indicate that the improved k-mean clustering algorithm has obvious advantages on execution time.
Keywords
particle swarm optimization K-Means clusteringPreview
Unable to display preview. Download preview PDF.
References
- 1.Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers (2000)Google Scholar
- 2.Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp. 1942–1948 (1999)Google Scholar
- 3.Dorigo, M., Maniezzo, V., Colorm, A.: The Ant System: Optimization by a Colony of Cooperating Agents. IEEE Transactions on Systems, Man, and Cybernetics-Part B 26(1), 29–41 (1996)CrossRefGoogle Scholar
- 4.Eberhart, R.C., Kennedy, J.: A New Optimizer Using Particle Swarm Theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995)Google Scholar
- 5.Karaboga, D., Akay, B.: A survey: algorithms simulating bee swarm intelligence. Artificial Intelligence Review 31(1-4), 61–85 (2009)CrossRefGoogle Scholar
- 6.Wang, Y.L., Wang, D.Y.: Clustering study of fabric deformation comfort using bi-swarm PSO algorithm. Journal of Textile Research 31(4), 60–64 (2010)Google Scholar
- 7.Omran, M.G.H., Engelbrecht, A.P., Salman, A.: Dynamic Clustering using Particle Swarm Optimization with Application in Unsupervised Image Classification. In: World Academy of Science, Engineering and Technology, pp. 199–204 (2005)Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2014