Publications Related to Clustering

  1. Document Clustering: The Next Frontier.

    David C. Anastasiu and Andrea Tagarelli and George Karypis. UMN-CS&E TR 13-004, 2013.

  1. A segment-based approach to clustering multi-topic documents.

    Andrea Tagarelli and George Karypis. Knowledge and Information Systems, Sptember, 2012.

  1. A Segment-based Approach To Clustering Multi-Topic Documents.

    Andrea Tagarelli and George Karypis. Text 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 Riedl. In “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. Aggarwal. SIAM International Conference on Data Mining (SDM), 2007.

  1. On efficiently summarizing categorical databases.

    Jianyong Wang and George Karypis. Knowledge and Information Systems, vol. 9, no. 1, 2006.

  1. Hierarchical Clustering Algorithms for Document Datasets.

    Ying Zhao and George Karypis. Data 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 Karypis. 10th International Conference on Artificial Intelligence and Law (ICAIL), pp. 177-187, 2005.

  1. Topic-Driven Clustering for Document Datasets.

    Ying Zhao and George Karypis. SIAM International Conference on Data Mining, pp. 358-369, 2005.

  1. Data Clustering in Life Sciences.

    Ying Zhao and George Karypis. Molecular 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. Karypis. Journal 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 Karypis. Machine Learning, 55, pp. 311-331, 2004.