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CLUTO - Software for Clustering High-Dimensional Datasets

Related research publications

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

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

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

  1. Clustering in Life Sciences. Ying Zhao and George Karypis.  In <em>Functional Genomics: Methods and Protocols</em>, M. Brownstein, A. Khodursky and D. Conniffe (editors). Humana Press, 2003.

  1. Evaluation of Hierarchical Clustering Algorithms for Document Datasets. Ying Zhao and George Karypis.  11th Conference of Information and Knowledge Management (CIKM), pp. 515-524, 2002.

  1. Criterion Functions for Document Clustering: Experiments and Analysis. Ying Zhao and George Karypis.  UMN CS 01-040, 2001.

  1. A Comparison of Document Clustering Techniques. Michael Steinbach, George Karypis and Vipin Kumar.  KDD Workshop on Text Mining, 2000.

  1. CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling. George Karypis, Eui-Hong Han, Vipin Kumar.  IEEE Computer 32(8): 68-75, 1999.