Fuzzy Ants as a Clustering Concept

@inproceedings{Kanade2003FuzzyAA,
  title={Fuzzy Ants as a Clustering Concept},
  author={Parag M. Kanade and Lawrence O. Hall},
  year={2003}
}
We present a swarm intelligence approach to data clustering. Data is clustered without initial knowledge of the number of clusters. Ant based clustering is used to initially create raw clusters and then these clusters are refined using the Fuzzy C Means algorithm. Initially the ants move the individual objects to form heaps. The centroids of these heaps are taken as the initial cluster centers and the Fuzzy C Means algorithm is used to refine these clusters. In the second stage the objects… CONTINUE READING
Highly Cited
This paper has 120 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 66 extracted citations

120 Citations

01020'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 120 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

AntClass: discovery of clusters in numeric data by an hybridization of an ant colony with k-means algorithm

  • N. Monmarche, M. Silmane, G. Venturini
  • Internal Report no. 213,
  • 1999
Highly Influential
6 Excerpts

CSIM: A document clustering algorithm based on swarm intelligence

  • W. Bin, L. Shaohui, S. Zhongzhi
  • Evolutionary Computation,
  • 2002
Highly Influential
3 Excerpts

Diversity and Adaptation in Populations of Clustering Ants.

  • E. Lumer, B. Faieta
  • In Proceedings Third International Conference on…
  • 1994
2 Excerpts

The dynamics of collective sorting: Robot-Like Ant and Ant-Like Robot.

  • J. L. Deneubourg, S. Goss, N. Francs, A. Sendova-Franks, C. Detrain, L. Chretien
  • Meyer and S.W. Wilson,
  • 1991
1 Excerpt

Similar Papers

Loading similar papers…