Ward method of hierarchical clustering for non-Euclidean similarity measures

Sadaaki Miyamoto, Ryosuke Abe, Yasunori Endo, Jun-ichi Takeshita. Ward method of hierarchical clustering for non-Euclidean similarity measures. In Mario Köppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma, editors, 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015. pages 60-63, IEEE, 2015. [doi]

@inproceedings{MiyamotoAET15,
  title = {Ward method of hierarchical clustering for non-Euclidean similarity measures},
  author = {Sadaaki Miyamoto and Ryosuke Abe and Yasunori Endo and Jun-ichi Takeshita},
  year = {2015},
  doi = {10.1109/SOCPAR.2015.7492784},
  url = {http://dx.doi.org/10.1109/SOCPAR.2015.7492784},
  researchr = {https://researchr.org/publication/MiyamotoAET15},
  cites = {0},
  citedby = {0},
  pages = {60-63},
  booktitle = {7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015},
  editor = {Mario Köppen and Bing Xue and Hideyuki Takagi and Ajith Abraham and Azah Kamilah Muda and Kun Ma},
  publisher = {IEEE},
  isbn = {978-1-4673-9360-7},
}