Automatic fuzzy clustering based on mistake analysis

  title={Automatic fuzzy clustering based on mistake analysis},
  author={Shenglan Ben and Zhong Jin and Jingyu Yang},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
This paper presents a robust fuzzy clustering algorithm which can perform clustering without pre-assigning the number of clusters and is not sensitive to the initialization of cluster centers. This is achieved by iteratively splitting and merging operations under the guidance of mistake measurements. In every step of the iteration, we first split the… CONTINUE READING