Ensemble clustering via Fuzzy c-Means

@article{Wan2017EnsembleCV,
  title={Ensemble clustering via Fuzzy c-Means},
  author={Xin Wan and Hao Lin and Hong Li and Guannan Liu and Maobo An},
  journal={2017 International Conference on Service Systems and Service Management},
  year={2017},
  pages={1-6}
}
Ensemble clustering is to fuse several basic partitions to find a single best cluster structure of data. With the prevalence of heterogeneous data rising from various application domains, ensemble clustering has become a state-of-the-art solution for cluster analysis due to its robustness and generalizability. However in the area of fuzzy systems, systematic research along this line is still in its initial stage. Finding a fuzzy consensus partition from multiple fuzzy basic partitions in an… CONTINUE READING