SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets

Hichem Frigui. SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada. pages 507-512, ACM, 2002. [doi]

@inproceedings{Frigui02,
  title = {SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets},
  author = {Hichem Frigui},
  year = {2002},
  doi = {10.1145/775047.775121},
  url = {http://doi.acm.org/10.1145/775047.775121},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/Frigui02},
  cites = {0},
  citedby = {0},
  pages = {507-512},
  booktitle = {Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada},
  publisher = {ACM},
  isbn = {1-58113-567-X},
}