Data 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.
• Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering (pdf, software)
  Y. Hou, J. Whang, D. Gleich, I. Dhillon.
  In SIAM International Conference on Data Mining (SDM), pp. 297–305, May 2016. (Oral)
• Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (pdf, slides, software)
  Y. Hou, J. Whang, D. Gleich, I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 427–436, August 2015. (Oral)
• A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models (pdf, slides, software)
  I. Yen, X. Lin, K. Zhong, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2418-2426, July 2015.
• Non-exhaustive, Overlapping k-means (pdf, software)
  J. Whang, I. Dhillon, D. Gleich.
  In SIAM International Conference on Data Mining (SDM), pp. 936–944, May 2015.
• Simultaneous Unsupervised Learning of Disparate Clusterings (pdf, software)
  P. Jain, R. Meka, I. Dhillon.
  Statistical Analysis and Data Mining 1(3), pp. 195-210, November 2008.
• Simultaneous Unsupervised Learning of Disparate Clusterings (pdf, software)
  P. Jain, R. Meka, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 858-869, April 2008.
• Differential Entropic Clustering of Multivariate Gaussians (pdf, software)
  J. Davis, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 337-344, December 2006.
• Clustering with Bregman Divergences (pdf, software)
  A. Banerjee, S. Merugu, I. Dhillon, J. Ghosh.
  Journal of Machine Learning Research (JMLR) 6, pp. 1705-1749, October 2005.
• Clustering on the Unit Hypersphere using von Mises-Fisher Distributions (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
  Journal of Machine Learning Research (JMLR) 6, pp. 1345-1382, September 2005.
• Clustering with Entropy-like k-means Algorithms (pdf, software)
  M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan, J. Kogan.
  Grouping Multidimensional Data – Recent Advances in Clustering, pp. 127-160, January 2005.
• Clustering with Bregman Divergences (pdf, software)
  A. Banerjee, S. Merugu, I. Dhillon, J. Ghosh.
  In SIAM International Conference on Data Mining (SDM), pp. 234-245, April 2004.
• Information Theoretic Clustering of Sparse Co-Occurrence Data (pdf, software)
  I. Dhillon, Y. Guan.
  In IEEE International Conference on Data Mining (ICDM), pp. 517-520, November 2003.
• Diametrical Clustering for identifying Anti-Correlated Gene Clusters (pdf, software)
  I. Dhillon, E. Marcotte, U. Roshan.
  Bioinformatics 19(13), pp. 1612-1619, September 2003.
• Generative Model-based Clustering of Directional Data (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 19-28, August 2003.
• A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification (pdf, software)
  I. Dhillon, S. Mallela, R. Kumar.
  Journal of Machine Learning Research (JMLR) 3, pp. 1265-1287, March 2003.
• Feature Selection and Document Clustering (pdf, software)
  I. Dhillon, J. Kogan, M. Nicholas.
  A Comprehensive Survey of Text Mining, pp. 73-100, January 2003.
• Modeling data using Directional Distributions (pdf, software)
  I. Dhillon, S. Sra.
  University of Texas Computer Science Technical Report (UTCS Technical Report) TR-03-06, January 2003.
• Iterative Clustering of High Dimensional Text Data Augmented by Local Search (pdf, software)
  I. Dhillon, Y. Guan, J. Kogan.
  In IEEE International Conference on Data Mining (ICDM), pp. 131-138, December 2002.
• Diametrical Clustering for identifying Anti-Correlated Gene Clusters (pdf, software)
  I. Dhillon, E. Marcotte, U. Roshan.
  University of Texas Computer Science Technical Report (UTCS Technical Report) TR-02-49, September 2002.
• Enhanced Word Clustering for Hierarchical Text Classification (pdf, software)
  I. Dhillon, S. Mallela, R. Kumar.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 2002.
• Refining Clusters in High-dimensional Text Data (pdf, software)
  I. Dhillon, Y. Guan, J. Kogan.
  In SIAM International Conference on Data Mining (SDM), April 2002.
• Efficient Clustering of Very Large Document Collections (pdf, software)
  I. Dhillon, Y. Guan, J. Fan.
  Data Mining for Scientific and Engineering Applications, pp. 357-381, 2001.
  (Invited chapter)
• A Data Clustering Algorithm on Distributed Memory Multiprocessors (pdf, software)
  I. Dhillon, D. Modha.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 1999.
  (Also appears as IBM Research Report RJ 10134.)