Comparing two density-based clustering methods for reducing very large spatio-temporal dataset

Michael Whelan, Nhien-An Le-Khac, M. Tahar Kechadi. Comparing two density-based clustering methods for reducing very large spatio-temporal dataset. In IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2011, Fuzhou, China, June 29 - July 1, 2011. pages 519-524, IEEE, 2011. [doi]

@inproceedings{WhelanLK11,
  title = {Comparing two density-based clustering methods for reducing very large spatio-temporal dataset},
  author = {Michael Whelan and Nhien-An Le-Khac and M. Tahar Kechadi},
  year = {2011},
  doi = {10.1109/ICSDM.2011.5969100},
  url = {http://dx.doi.org/10.1109/ICSDM.2011.5969100},
  researchr = {https://researchr.org/publication/WhelanLK11},
  cites = {0},
  citedby = {0},
  pages = {519-524},
  booktitle = {IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2011, Fuzhou, China, June 29 - July 1, 2011},
  publisher = {IEEE},
  isbn = {978-1-4244-8352-5},
}