GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach

Andrew Lensen, Bing Xue, Mengjie Zhang. GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. In Peter A. N. Bosman, editor, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017. pages 449-456, ACM, 2017. [doi]

@inproceedings{LensenXZ17-0,
  title = {GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach},
  author = {Andrew Lensen and Bing Xue and Mengjie Zhang},
  year = {2017},
  doi = {10.1145/3071178.3071222},
  url = {http://doi.acm.org/10.1145/3071178.3071222},
  researchr = {https://researchr.org/publication/LensenXZ17-0},
  cites = {0},
  citedby = {0},
  pages = {449-456},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017},
  editor = {Peter A. N. Bosman},
  publisher = {ACM},
  isbn = {978-1-4503-4920-8},
}