A comparative investigation of the robustness of unsupervised clustering techniques for rotating machine fault diagnosis with poorly-separated data

Tapana Mekaroonkamon, Sarawan Wongsa. A comparative investigation of the robustness of unsupervised clustering techniques for rotating machine fault diagnosis with poorly-separated data. In Eighth International Conference on Advanced Computational Intelligence, ICACI 2016, Chiang Mai, Thailand, February 14-16, 2016. pages 165-172, IEEE, 2016. [doi]

@inproceedings{MekaroonkamonW16,
  title = {A comparative investigation of the robustness of unsupervised clustering techniques for rotating machine fault diagnosis with poorly-separated data},
  author = {Tapana Mekaroonkamon and Sarawan Wongsa},
  year = {2016},
  doi = {10.1109/ICACI.2016.7449821},
  url = {http://dx.doi.org/10.1109/ICACI.2016.7449821},
  researchr = {https://researchr.org/publication/MekaroonkamonW16},
  cites = {0},
  citedby = {0},
  pages = {165-172},
  booktitle = {Eighth International Conference on Advanced Computational Intelligence, ICACI 2016, Chiang Mai, Thailand, February 14-16, 2016},
  publisher = {IEEE},
  isbn = {978-1-4673-7782-9},
}