CLUTO - Software for Clustering High-Dimensional Datasets
Related research publications
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A Segment-based Approach To Clustering Multi-Topic Documents.
Andrea Tagarelli and George Karypis. Text Mining Workshop, SIAM Datamining Conference, 2008.
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Hierarchical Clustering Algorithms for Document Datasets.
Ying Zhao and George Karypis. Data Mining and Knowledge Discovery, Vol. 10, No. 2, pp. 141 - 168, 2005.
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Topic-Driven Clustering for Document Datasets.
Ying Zhao and George Karypis. SIAM International Conference on Data Mining, pp. 358-369, 2005.
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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.
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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.
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A Comparison of Document Clustering Techniques.
Michael Steinbach, George Karypis and Vipin Kumar. KDD Workshop on Text Mining, 2000.
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CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling.
George Karypis, Eui-Hong Han, Vipin Kumar. IEEE Computer 32(8): 68-75, 1999.
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