Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings

Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto. Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. In FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings. pages 804-809, IEEE, 2011. [doi]

@inproceedings{EndoTHM11,
  title = {Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings},
  author = {Yasunori Endo and Isao Takayama and Yukihiro Hamasuna and Sadaaki Miyamoto},
  year = {2011},
  doi = {10.1109/FUZZY.2011.6007383},
  url = {http://doi.ieeecomputersociety.org/10.1109/FUZZY.2011.6007383},
  researchr = {https://researchr.org/publication/EndoTHM11},
  cites = {0},
  citedby = {0},
  pages = {804-809},
  booktitle = {FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings},
  publisher = {IEEE},
  isbn = {978-1-4244-7315-1},
}