G. Gupta, Robust Methods for Locating Multiple Dense Regions in Complex Datasets, Department of Electrical & Computer Engineering, The University of Texas at Austin, December 2006.
pdf, postscript, powerpoint

G. Gupta, Modeling Customer Dynamics using Motion Estimation in a Value Based Cluster Space for Large Retail Data-sets, Department of Electrical & Computer Engineering, The University of Texas at Austin, August 2000.
pdf, postscript, zipped postscript

NEW: Gene DIVER, a highly scalable, free, cluster mining product based on Auto HDS, well-suited for high-dimensional datasets: See Gene DIVER Website. Parts of it are described in the ICDM paper below, and some portions are under review in an IEEE journal paper. Implementation details for Gene DIVER appear in my Ph.D. thesis, while the user manual for Gene DIVER appears as a supplement to the AutoHDS TCBB journal paper listed on this page.

Meghana Deodhar, Hyuk Cho, Gunjan Gupta, Joydeep Ghosh, Inderjeet Dhillion, Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasetsi, In Workshop on Foundations of Data Mining, ICDM 2008.
pdf

Gunjan Gupta, Joydeep Ghosh, Bregman bubble clustering: A robust framework for mining dense clusters In ACM Transactions on Knowledge Discovery from Data, Volume 2, Issue 2, Article 8, July 2008, The ACM Digital Library.
ACM/TKDD Link

Gunjan Gupta, Alex Liu, Joydeep Ghosh, Automated Hierarchical Density Shaving: A robust, automated clustering and visualization framework for large biological datasets, In IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11 Mar 2008, IEEE Computer Society Digital Library. IEEE Computer Society, 17 March 2008
DOI/TCBB Link

G. Gupta, J. Ghosh, Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data, In Proc. ICDM: The 2006 IEEE International Conference on Data Mining, December 18-22, 2006, Hong Kong, pp. 232-243(Second Best Research Paper Award)
pdf, postscript, zipped postscript, gzipped ppt slides, ICDM Website,Citeseer

G. Gupta, A. Liu and J. Ghosh, Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets, accepted, IEEE ICDM 2006 Workshop on Data Mining in Bioinformatics (DMB 2006), December 18, 2006, Hong Kong, 5 pages
pdf, postscript, zipped postscript, DMB Website,Citeseer

G. Gupta, A. Liu and J. Ghosh, Clustering and Visualization of High-Dimensional Biological Datasets using a fast HMA Approximation, In Proc. ANNIE 2006, ASME, November 5-8, 2006, St. Louis, Missouri, USA, 6 pages.
pdf,postscript, zipped postscript and powerpoint, ANNIE 2006 Website, Citeseer

G. Gupta and J. Ghosh, Robust One-Class Clustering Using Hybrid Global and Local Search, In Proc. ICML 2005, August 7-11, 2005, Bonn, Germany, pp. 273-280
pdf, postscript, zipped postscript and powerpoint, ICML/IMLS Website, Citeseer

G. Gupta and J. Ghosh, Detecting Seasonal Trends and Cluster Motion Visualization for very High Dimensional Transactional Data,In Proc. First Siam Conf. On Data Mining, (SDM2001) , Chicago, April 2001, 17 pages.
pdf, postscript, zipped postscript and powerpoint, SIAM/SDM Website, Citeseer

G. Gupta and J. Ghosh, Value Balanced Agglomerative Connectivity Clustering, In Proc. SPIE Conf. on Data Mining and Knowledge Discovery, SPIE Proc., Orlando, April 2001. 4384:6-15.
pdf, postscript, zipped postscript and powerpoint, SPIE Website, Citeseer

Gupta, G. , Strehl, A. Ghosh, J. Distance Based Clustering of Association Rules, In Proc ANNIE '99, Nov 1999, Intelligent Engineering Systems Through Artificial Neural Networks, ASME Press, 9:759-764.
Extended version, pdf(warning: takes time to load), Conference version, pdf, power point, Supplementary material, ANNIE Website, Citeseer