Critical Boundary Vector Concept in Nearest Neighbor Classifiers using k-Means Centers for Efficient Template Reduction

Wenjun Xia, Tadashi Shibata. Critical Boundary Vector Concept in Nearest Neighbor Classifiers using k-Means Centers for Efficient Template Reduction. In Kurosh Madani, Janusz Kacprzyk, Joaquim Filipe, editors, NCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications [part of the International Joint Conference on Computational Intelligence IJCCI 2011], Paris, France, 24-26 October, 2011. pages 93-98, SciTePress, 2011.

@inproceedings{XiaS11,
  title = {Critical Boundary Vector Concept in Nearest Neighbor Classifiers using k-Means Centers for Efficient Template Reduction},
  author = {Wenjun Xia and Tadashi Shibata},
  year = {2011},
  researchr = {https://researchr.org/publication/XiaS11},
  cites = {0},
  citedby = {0},
  pages = {93-98},
  booktitle = {NCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications [part of the International Joint Conference on Computational Intelligence IJCCI 2011], Paris, France, 24-26 October, 2011},
  editor = {Kurosh Madani and Janusz Kacprzyk and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-8425-84-3},
}