A novel hybrid clustering based on adaptive ACO and PSO

  title={A novel hybrid clustering based on adaptive ACO and PSO},
  author={Wen Xiong and Cong Wang},
  journal={2011 International Conference on Computer Science and Service System (CSSS)},
  • Wen Xiong, Cong Wang
  • Published 2011 in
    2011 International Conference on Computer Science…
Clustering is an unsupervised machine learning method, which groups data into classes without labeled samples, and an important task in data mining. To attack the local optimum of k-means method, the paper presents a novel hybrid clustering approach, which uses adaptive ant colony optimization (ACO) to optimize the partition of data set, and utilizes enhanced particle swarm optimization (PSO) to refine the result of the adaptive ACO. Experiments displayed that the approach obtains smaller… CONTINUE READING


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Showing 1-10 of 12 references

Data mining and clustering with ant colony optimization

  • Gülüzar KEKEÇ, AK NejatYUMU, Numan ÇELEB
  • In: Proc. IMS, 2006, pp. 1178-1190.
  • 2006
1 Excerpt

A new intelligent optimization method-artificial fish school algorithm

  • X. L. Li
  • Zhejiang University, 2003.
  • 2003
2 Excerpts

Bee system: modeling combinatorial optimization transportation engineering problems by swarm intelligence

  • P. Lucic, D. Teodorovic
  • In: Preprints of the Triennial Symposium on…
  • 2001
2 Excerpts

Particle swarm optimization

  • J. Kennedy, R. Eberhart
  • In: Proc. ICNN 1999. Piscataway, NJ, 1999, vol. 4…
  • 1999
1 Excerpt

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