Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method

@article{Li2015MultigranulationIF,
  title={Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method},
  author={Fei-Jiang Li and Yu-Hua Qian and Jie-Ting Wang and Ji-Ye Liang},
  journal={2015 International Conference on Machine Learning and Cybernetics (ICMLC)},
  year={2015},
  volume={1},
  pages={58-63}
}
As an important reflection of human cognitive ability, the multi-granulation analysis gets more reasonable solution of a problem in comparison to the single granulation. Clustering analysis is an active area of machine learning and a fundamental technique of information granulation. By using different clustering algorithms and different parameters of an… CONTINUE READING