Clustering of biomedical documents using ontology-based TF-IGM enriched semantic smoothing model for telemedicine applications

Author:

Sandhiya R.,Sundarambal M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference46 articles.

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3. Ding, C.H., He, X., Zha, H., Gu, M., Simon, H.D.: A min-max cut algorithm for graph partitioning and data clustering. In: Proceedings IEEE International Conference on Data Mining, 2001. ICDM 2001, pp. 107–114. IEEE (2001)

4. Zhao, Y., Karypis, G.: Evaluation of hierarchical clustering algorithms for document datasets. In: Proceedings of the Eleventh International Conference on Information and Knowledge Management, pp. 515–524. ACM (2002)

5. Chim, H., Deng, X.: Efficient phrase-based document similarity for clustering. IEEE Trans. Knowl. Data Eng. 20(9), 1217–1229 (2008)

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