Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets

Elias Oliveira, Howard Roatti, Matheus de Araujo Nogueira, Henrique Gomes Basoni, Patrick Marques Ciarelli. Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets. In Ana L. N. Fred, Jan L. G. Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, editors, KDIR 2015 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 1, Lisbon, Portugal, November 12-14, 2015. pages 567-576, SciTePress, 2015. [doi]

@inproceedings{OliveiraRNBC15,
  title = {Using the Cluster-based Tree Structure of k-Nearest Neighbor to Reduce the Effort Required to Classify Unlabeled Large Datasets},
  author = {Elias Oliveira and Howard Roatti and Matheus de Araujo Nogueira and Henrique Gomes Basoni and Patrick Marques Ciarelli},
  year = {2015},
  doi = {10.5220/0005615305670576},
  url = {http://dx.doi.org/10.5220/0005615305670576},
  researchr = {https://researchr.org/publication/OliveiraRNBC15},
  cites = {0},
  citedby = {0},
  pages = {567-576},
  booktitle = {KDIR 2015 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 1, Lisbon, Portugal, November 12-14, 2015},
  editor = {Ana L. N. Fred and Jan L. G. Dietz and David Aveiro and Kecheng Liu and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-758-158-8},
}