Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states

Michal Grochowski, Maciej Matczak, Michal Sokolowski. Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states. In 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015, Międzyzdroje, Poland, August 24-27, 2015. pages 541-546, IEEE, 2015. [doi]

@inproceedings{GrochowskiMS15,
  title = {Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states},
  author = {Michal Grochowski and Maciej Matczak and Michal Sokolowski},
  year = {2015},
  doi = {10.1109/MMAR.2015.7283933},
  url = {http://dx.doi.org/10.1109/MMAR.2015.7283933},
  researchr = {https://researchr.org/publication/GrochowskiMS15},
  cites = {0},
  citedby = {0},
  pages = {541-546},
  booktitle = {20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015, Międzyzdroje, Poland, August 24-27, 2015},
  publisher = {IEEE},
  isbn = {978-1-4799-8701-6},
}