Publications Related to Clustering

  1. A Segment-based Approach To Clustering Multi-Topic Documents. Andrea Tagarelli and George KarypisText Mining Workshop, SIAM Datamining Conference, 2008.

  1. Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of clustering. Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, and John RiedlIn “Web Mining and Web Usage Analysis”, O. Nasraoui, et. al. (editors), Springer, 2008.

  1. Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. AggarwalSIAM International Conference on Data Mining (SDM), 2007.

  1. On efficiently summarizing categorical databases. Jianyong Wang and George KarypisKnowledge and Information Systems, vol. 9, no. 1, 2006.

  1. Hierarchical Clustering Algorithms for Document Datasets. Ying Zhao and George KarypisData Mining and Knowledge Discovery, Vol. 10, No. 2, pp. 141 - 168, 2005.

  1. Effective Document Clustering for Large Heterogeneous Law Firm Collections. Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, and George Karypis10th International Conference on Artificial Intelligence and Law (ICAIL), 2005.

  1. Topic-Driven Clustering for Document Datasets. Ying Zhao and George KarypisSIAM International Conference on Data Mining, pp. 358-369, 2005.

  1. Data Clustering in Life Sciences. Ying Zhao and George KarypisMolecular Biotechnology, 31(1), pp. 55--80, 2005.

  1. Macromolecule Mass Spectrometry: Citation Mining of User Documents. R. N. Kostoff, C. D. Bedford, J. Antonio del Rio, H. D. Cortes, and G. KarypisJournal of the American Society for Mass Spectrometry, Vol. 15, No. 3, pp. 281 - 287, 2004.

  1. Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. Ying Zhao and George KarypisMachine Learning, 55, pp. 311-331, 2004.

  1. Soft Clustering Criterion Functions for Partitional Document Clustering. Ying Zhao and George Karypis13th Conference of Information and Knowledge Management (CIKM), pp. 246-247, 2004.

  1. SUMMARY: Efficient Summarizing Transactions for Clustering. Jianyong Wang and George Karypis4th IEEE Conference on Data Mining (ICDM), pp. 241-248, 2004.