Hybrid Clustering Algorithm Based on Pso with the Multidimensional Asynchronism and Stochastic Disturbance Method

@inproceedings{Chen2012HybridCA,
  title={Hybrid Clustering Algorithm Based on Pso with the Multidimensional Asynchronism and Stochastic Disturbance Method},
  author={Junyan Chen},
  year={2012}
}
It is well known that solutions of k-means algorithm depend on the initialization of cluster centers and the final solution converges to local minima. In this paper, we introduce a clustering approach that combines ideas from modified particle swarm optimization (PSO) and k-means. The potential benefits of this technique are investigated by incorporating the multidimensional asynchronism and stochastic disturbance method to the velocity in the particle swarm optimizer to create new… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Image Classification using Chaotic Particle Swarm Optimization

2006 International Conference on Image Processing • 2006
View 5 Excerpts
Highly Influenced

Cluster Analysis Based on Particle Swarm Optimization Algorithm

J. Liu, L. Han, L. Hou
Systems Engineering-Theory & Practice, • 2005
View 4 Excerpts
Highly Influenced

Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) • 2004
View 6 Excerpts
Highly Influenced

Rousta, “An efficient hybrid algorithm based on modified imperialist competitive algorithm and Journal of Theoretical and Applied Information Technology

T. Niknam, E. T. Fard, N. Pourjafarian
JATIT & LLS. All rights reserved • 2012
View 2 Excerpts

Automatic clustering using genetic algorithms

Applied Mathematics and Computation • 2011
View 3 Excerpts

A new hybrid algorithm based on PSO, SA, and K-means for cluster analysis

B. Bahmani Firouzi, M. Sha Sadeghi, T. Niknam
International Journal of Innovative Computing Information and Control, • 2010
View 3 Excerpts

Similar Papers

Loading similar papers…