doi: 10.7763/IJMLC.2012.V2.249
Integrated PSO and DE for Data Clustering
Suresh Satapathy
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- Department of CSE, ANITS, Visakhapatnam, AP, India.
Abstract
This paper studies the applicability of hybridization of Differential Evolution (DE) and PSO techniques to data clustering problem. A new way of integrating DE and PSO is explored in the paper. In one approach, a parallel DE and PSO developed and in other, a transitional approach of alternate DE and PSO technique followed. Simulations for number of data sets show that the proposed integrated approach provides better clustering performance.
Keywords
- Clustering
- PSO
- differential evolution
How to Cite
Suresh Satapathy, Divya Maheshwari, Sai Hanuman A, Vinaya Babu A, P. K. Patra, and B. N. Biswal, "Integrated PSO and DE for Data Clustering," International Journal of Machine Learning, vol. 2, no. 6, pp. 839-843, 2012. https://doi.org/10.7763/IJMLC.2012.V2.249
Copyright & License
Copyright © 2012 by the authors. 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 (CC BY 4.0).