The K-means clustering algorithm based on density and ant colony

  title={The K-means clustering algorithm based on density and ant colony},
  author={Peng Yuqing and Hou Xiangdan and Liu Shang},
  journal={International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003},
  pages={457-460 Vol.1}
The ant algorithm is a new evolutional method, k-means and the density-cluster are familiar cluster analysis. In this paper, we proposed a new K-means algorithm based on density and ant theory, which resolved the problem of local minimal by the random of ants and handled the initial parameter sensitivity of k-means. In addition it combined idea of density and made the ants searching selectable. With the experiments it was proved that the algorithm we proposed improved the efficiency and… CONTINUE READING
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A Multilevel kway Partitioning Algorithm for Finite Element Meshes Using Competing Ant Colonies ”

  • P. W. Grant
  • 1999

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