Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model

Nguyen Chi Thanh, Koichi Yamada, Muneyuki Unehara. Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model. In Ana L. N. Fred, Joaquim Filipe, editors, KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, October 25-28, 2010. pages 396-399, SciTePress, 2010.

@inproceedings{ThanhYU10,
  title = {Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model},
  author = {Nguyen Chi Thanh and Koichi Yamada and Muneyuki Unehara},
  year = {2010},
  researchr = {https://researchr.org/publication/ThanhYU10},
  cites = {0},
  citedby = {0},
  pages = {396-399},
  booktitle = {KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, October 25-28, 2010},
  editor = {Ana L. N. Fred and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-8425-28-7},
}