A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines

José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior. A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines. In Guilherme A. Barreto, Ricardo Coelho, editors, Fuzzy Information Processing - 37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings. Volume 831 of Communications in Computer and Information Science, pages 398-407, Springer, 2018. [doi]

@inproceedings{FlorencioDNJ18,
  title = {A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines},
  author = {José A. V. Florêncio and Madson Luiz Dantas Dias and Ajalmar R. da Rocha Neto and Amauri Holanda de Souza Júnior},
  year = {2018},
  doi = {10.1007/978-3-319-95312-0_34},
  url = {https://doi.org/10.1007/978-3-319-95312-0_34},
  researchr = {https://researchr.org/publication/FlorencioDNJ18},
  cites = {0},
  citedby = {0},
  pages = {398-407},
  booktitle = {Fuzzy Information Processing - 37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings},
  editor = {Guilherme A. Barreto and Ricardo Coelho},
  volume = {831},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-95312-0},
}