A partitioning based algorithm to fuzzy co-cluster documents and words

Pattern Recognition Letters

Volumn 27, Issue 3, 2006, Pages 151-159

  Tjhi, William Chandra ^a   Chen, Lihui ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Co clustering; Fuzzy clustering; Information retrieval

Indexed keywords

ALGORITHMS; INFORMATION RETRIEVAL; SET THEORY; WORD PROCESSING;

CO-CLUSTERING; DATASETS; FUZZY CLUSTERING; NATURAL DISTRIBUTION;

FUZZY CONTROL;

EID: 28044443828     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.07.012     Document Type: Article

References (22)

1. R. Bekkerman, R. El-Yaniv, N. Tishby, and Y. Winter Distributional word clusters vs. words for text categorization J. Machine Learn. 3 7-8 2003 1183 1208
2. I.S. Dhillon, J. Fan, and Y. Guan Efficient clustering of very large document collections R. Grossman C. Kamath V. Kumar R. Namburu Data Mining for Scientific and Engineering Applications 2001 Kluwer Academic Publishers Dordrecht 357 882
3. Dhillon, I.S., Mallela, S., Modha, D.S., 2003. Information-theoretic co-clustering. In: Proc. 9th ACM SIGKDD Internat. Conf. on Knowledge Discovery and Data Mining, pp. 89-98.
4. D. Dumitrescu, B. Lazzerini, and L. Jain Fuzzy Sets and Their Applications to Clustering and Training 2000 CRC Press Boca Raton
5. Florian, B., Ester, M., Xu, X., 2002. Frequent term-based text clustering. In: Proc. ACM SIGKDD Internat. Conf. on Knowledge Discovery and Data Mining, pp. 436-442.
6. Friedman, M., Kandel, A., Schneider, M., Last, M., Shapira, B., Elovici, Y., Zaafrany, O., 2004. A fuzzy-based algorithm for web document clustering. In: Annual Meeting of the North American Fuzzy Information Processing Society, vol. 2, pp. 524-527.
7. H. Frigui, and O. Nasraoui Simultaneous clustering and dynamic keyword weighting for text documents M.W. Berry Survey of Text Mining 2004 Springer-Verlag New York 45 72
8. V.P. Guerrero-Bote, C. Lope-Pujalte, F. De Moya-Anegon, and V. Herrero-Solana Comparison of neural models for document clustering Internat. J. Approx. Reason. 34 2-3 2003 287 305
9. K.M. Hammouda, and M.S. Kamel Efficient phrase-based document indexing for web document clustering IEEE Trans. Knowl. Data Eng. 16 10 2004 1279 1296
10. Hussin, M.F., Kamel, M.S., Nagi, M.H., 2004. An efficient two-level SOMART document clustering through dimensionality reduction. In: Proc. 11th Internat. Conf. on Neural Information Processing, pp. 158-165.
11. K. Kummamuru, A. Dhawale, and R. Krishnapuram Fuzzy co-clustering of documents and keywords IEEE Internat. Conf. on Fuzzy Systems 2003 772 777
12. P.J. Lingras, and C. West Interval set clustering of web users with rough K-means J. Intell. Inform. System 23 1 2004 5 16
13. P.J. Lingras, M. Hogo, and M. Snorek Interval set clustering of web users using modified Kohonen self-organizing maps based on properties of rough sets Web Intell. Agent Systems: Internat. J. 2 3 2004 217 225
14. S.C. Madeira, and A.L. Oliveira Biclustering algorithms for biological data analysis: A survey IEEE/ACM Trans. Comput. Biol. Bioinform. 1 2004 24 45
15. Mandhani, B., Joshi, S., Kummamuru, K., 2003. A matrix density based algorithm to hierarchically co-cluster documents and words. In: Proc. 12th Internat. Conf. on World Wide Web, pp. 511-518.
16. M.E.S. Mendes, and L. Sacks Evaluating fuzzy clustering for relevance-based information access Proc. IEEE Internat. Conf. on Fuzzy Systems 2003 649 653
17. C.H. Oh, K. Honda, and H. Ichihashi Fuzzy clustering for categorical multivariate data Proc. IFSA/NAFIPS 2001 2154 2159
18. M.P. Sinka, and D.W. Corne A large benchmark dataset for web document clustering A. Abraham R.D.S Javier M. Koppen Soft Computing Systems: Design, Management and Applications 2002 IOS Press Amsterdam 881 892
19. K. Shihab Improving clustering performance by using feature selection and extraction techniques J. Intell. Systems 13 3 2004 249 273
20. Xu, W., Gong, Y., 2004. Document clustering by concept factorization. In: Proc. 27th Internat. Conf. on Research and Development in Information Retrieval, pp. 202-209.
21. R.B. Yates, and B.R. Neto Modern Information Retrieval 1999 Addison Wesley, Longman Inc. Reading, MA, London
22. Zamir, O., Etzioni, O., 1998. Web document clustering: a feasibility demonstration. In: Proc. 21st Annual Internat. ACM SIGIR Conf. on Research and Development in Information Retrieval, pp. 46-54.