Co-Clustering

• Non-exhaustive, Overlapping Clustering (pdf, software)
  J. Whang, Y. Hou, D. Gleich, I. Dhillon.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 41(11), pp. 2644–2659, August 2018.
• Non-Exhaustive, Overlapping Co-Clustering
  J. Whang, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), November 2017.
• A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data (pdf, software)
  M. Deodhar, G. Gupta, J. Ghosh, H. Cho, I. Dhillon.
  In International Conference on Machine Learning (ICML), June 2009.
• Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets (pdf, software)
  M. Deodhar, H. Cho, G. Gupta, J. Ghosh, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), December 2008.
• Co-clustering of Human Cancer Microarrays using Minimum Sum-Squared Residue Co-clustering (pdf, software)
  H. Cho, I. Dhillon.
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 5(3), pp. 385-400, July 2008.
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, D. Modha.
  Journal of Machine Learning Research (JMLR) 8, pp. 1919-1986, August 2007.
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu.
  In International Conference on Machine Learning (ICML), pp. 57-64, July 2004.
• Minimum Sum-Squared Residue Co-clustering of Gene Expression Data (pdf, software)
  H. Cho, I. Dhillon, Y. Guan, S. Sra.
  In SIAM International Conference on Data Mining (SDM), pp. 114-125, April 2004.
• Information-Theoretic Co-clustering (pdf, software)
  I. Dhillon, S. Mallela, D. Modha.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 89-98, August 2003.
• Co-clustering Documents and Words Using Bipartite Spectral Graph Partitioning (pdf, software)
  I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2001.