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The Scientific World Journal
Volume 2014 (2014), Article ID 564829, 16 pages
Research Article

Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms

1Department of Computer and Information Science, University of Macau, Macau
2Department of Computer Science and Engineering, Cambridge Institute of Technology, Ranchi 835103, India
3School of Science and Technology, Middlesex University, The Burroughs, London NW4 4BT, UK

Received 4 May 2014; Accepted 9 June 2014; Published 18 August 2014

Academic Editor: T. O. Ting

Copyright © 2014 Simon Fong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

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  • R. Sabitha, and S. Karthik, “Convalescing Cluster Configuration Using a Superlative Framework,” The Scientific World Journal, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
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  • Parul Agarwal, and Shikha Mehta, “Enhanced flower pollination algorithm on data clustering,” International Journal of Computers and Applications, vol. 38, no. 2-3, pp. 144–155, 2016. View at Publisher · View at Google Scholar
  • et al. Masadeh, “Grey wolf optimization applied to the maximum flow problem,” International Journal of ADVANCED AND APPLIED SCIENCES, vol. 4, no. 7, pp. 95–100, 2017. View at Publisher · View at Google Scholar
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