A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional

Sotirios P. Chatzis. A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional. Expert Syst. Appl., 38(7):8684-8689, 2011. [doi]

@article{Chatzis11,
  title = {A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional},
  author = {Sotirios P. Chatzis},
  year = {2011},
  doi = {10.1016/j.eswa.2011.01.074},
  url = {http://dx.doi.org/10.1016/j.eswa.2011.01.074},
  tags = {C++},
  researchr = {https://researchr.org/publication/Chatzis11},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {38},
  number = {7},
  pages = {8684-8689},
}