CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection

Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken. CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. In Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA. pages 198-206, SIAM, 2013. [doi]

@inproceedings{BohmKMNV13,
  title = {CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection},
  author = {Klemens Böhm and Fabian Keller and Emmanuel Müller and Hoang Vu Nguyen and Jilles Vreeken},
  year = {2013},
  url = {http://knowledgecenter.siam.org/17SDM/},
  researchr = {https://researchr.org/publication/BohmKMNV13},
  cites = {0},
  citedby = {0},
  pages = {198-206},
  booktitle = {Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA},
  publisher = {SIAM},
  isbn = {978-1-61197-262-7},
}