Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint

Xiangzhen Kong, Chunhou Zheng, Yuqiang Wu, Li Shang. Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint. In De-Shuang Huang, Laurent Heutte, Marco Loog, editors, Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings. Volume 4681 of Lecture Notes in Computer Science, pages 792-802, Springer, 2007. [doi]

@inproceedings{KongZWS07,
  title = {Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint},
  author = {Xiangzhen Kong and Chunhou Zheng and Yuqiang Wu and Li Shang},
  year = {2007},
  doi = {10.1007/978-3-540-74171-8_79},
  url = {http://dx.doi.org/10.1007/978-3-540-74171-8_79},
  tags = {discovery, constraints},
  researchr = {https://researchr.org/publication/KongZWS07},
  cites = {0},
  citedby = {0},
  pages = {792-802},
  booktitle = {Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings},
  editor = {De-Shuang Huang and Laurent Heutte and Marco Loog},
  volume = {4681},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-74170-1},
}