A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance

M. M. Manjurul Islam, Md. Rashedul Islam, Jong Myon Kim. A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. In Markus Wagner 0007, Xiaodong Li, Tim Hendtlass, editors, Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings. Volume 10142 of Lecture Notes in Computer Science, pages 180-192, 2017. [doi]

@inproceedings{IslamIK17,
  title = {A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance},
  author = {M. M. Manjurul Islam and Md. Rashedul Islam and Jong Myon Kim},
  year = {2017},
  doi = {10.1007/978-3-319-51691-2_16},
  url = {http://dx.doi.org/10.1007/978-3-319-51691-2_16},
  researchr = {https://researchr.org/publication/IslamIK17},
  cites = {0},
  citedby = {0},
  pages = {180-192},
  booktitle = {Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings},
  editor = {Markus Wagner 0007 and Xiaodong Li and Tim Hendtlass},
  volume = {10142},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-51690-5},
}