Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm

Yingchun Ye, Laibin Zhang, Wei Liang, Dongliang Yu, Zhaohui Wang. Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm. In Mark Burgin, Masud H. Chowdhury, Chan H. Ham, Simone A. Ludwig, Weilian Su, Sumanth Yenduri, editors, CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes. pages 646-650, IEEE Computer Society, 2009. [doi]

@inproceedings{YeZLYW09,
  title = {Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm},
  author = {Yingchun Ye and Laibin Zhang and Wei Liang and Dongliang Yu and Zhaohui Wang},
  year = {2009},
  doi = {10.1109/CSIE.2009.657},
  url = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.657},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/YeZLYW09},
  cites = {0},
  citedby = {0},
  pages = {646-650},
  booktitle = {CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes},
  editor = {Mark Burgin and Masud H. Chowdhury and Chan H. Ham and Simone A. Ludwig and Weilian Su and Sumanth Yenduri},
  publisher = {IEEE Computer Society},
  isbn = {978-0-7695-3507-4},
}