Accuracy of separable nonnegative matrix factorization for topic extraction

Hendri Murfi. Accuracy of separable nonnegative matrix factorization for topic extraction. In Jalel Ben-Othman, Feng Gang, Jain-Shing Liu, Masayuki Arai, editors, Proceedings of the 3rd International Conference on Communication and Information Processing, ICCIP 2017, Tokyo, Japan, November 24-26, 2017. pages 226-230, ACM, 2017. [doi]

@inproceedings{Murfi17,
  title = {Accuracy of separable nonnegative matrix factorization for topic extraction},
  author = {Hendri Murfi},
  year = {2017},
  doi = {10.1145/3162957.3162996},
  url = {http://doi.acm.org/10.1145/3162957.3162996},
  researchr = {https://researchr.org/publication/Murfi17},
  cites = {0},
  citedby = {0},
  pages = {226-230},
  booktitle = {Proceedings of the 3rd International Conference on Communication and Information Processing, ICCIP 2017, Tokyo, Japan, November 24-26, 2017},
  editor = {Jalel Ben-Othman and Feng Gang and Jain-Shing Liu and Masayuki Arai},
  publisher = {ACM},
}