Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance

Rong Guan, Yves Lechevallier, Huiwen Wang. Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance. In Yves Lechevallier, Gilbert Saporta, Rong Guan, Huiwen Wang, editors, Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China. Volume E-25 of RNTI, pages 15-30, Hermann-Éditions, 2011. [doi]

@inproceedings{GuanLW11,
  title = {Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein Distance},
  author = {Rong Guan and Yves Lechevallier and Huiwen Wang},
  year = {2011},
  url = {http://editions-rnti.fr/?inprocid=1001877},
  researchr = {https://researchr.org/publication/GuanLW11},
  cites = {0},
  citedby = {0},
  pages = {15-30},
  booktitle = {Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China},
  editor = {Yves Lechevallier and Gilbert Saporta and Rong Guan and Huiwen Wang},
  volume = {E-25},
  series = {RNTI},
  publisher = {Hermann-Éditions},
}