Soft multi-modal data fusion

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2003, Pages 636-641

  Coppock, Sarah ^a   Mazlack, Lawrence ^a  

^a UNIVERSITY OF CINCINNATI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FUNCTIONS; INFORMATION ANALYSIS; LEARNING SYSTEMS;

DATA FUSION;

DATA PROCESSING;

EID: 0037861017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. rd ed. Hodder & Stoughton, London, 1993.
2. Jain and R. Dubes. Algorithms for Clustering Data. Prentice Hall, New Jersey, 1988.
3. V. Ganti, J. Gehrke, and R. Ramakrishnan. "CACTUS: Clustering Categorical Data Using Summaries" in Knowledge Discovery and Data Mining, pp. 73-83, 1999.
4. th VLDB Conference, Vol. 8(3/4), pp. 222-236, 2000.
5. S. Guha, R. Rastogi, and K. Shim, "ROCK: A Robust Clustering Algorithm for Categorical Attributes", in Information Systems, Vol. 25(5), pp. 345-366, 2000.
6. K. Wang, C. Xu, and B. Liu. "Clustering Records Using Large Items", in CIKM 1999. pp. 483-490.
7. th International Conference on Data Engineering, 2000.
8. J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Fransisco, 2001.
9. P. Sneath and R. Sokal. Numerical Taxonomy. Freeman and Company, San Fransisco, 1973.
10. Y. Zhu. Unsupervised Database Discovery Based on Artificial Intelligence Techniques, Masters Thesis, June 2002.
11. K. Gowda and E. Diday. "Symbolic Clustering Using a New Dissimilarity Measure" in Pattern Recognition, Vol. 24(6), pp. 567-578, 1991.
12. S. Gupta, K. Rao, and V. Bhatnagar, "K-Means Clustering Algorithm For Categorical Attributes", in Data Warehousing and Knowledge Discovery, pp. 203-208, 1999.
13. S. Hirano, T. Okuzaki, Y. Hata, S. Tsumoto, and K. Tsumoto. "A Rough Set-Based Clustering Method with Modification of Equivalence Relations", in PAKDD 2001, D. Cheung et al eds., pp. 513-518, 2001.
14. st Pacific-Asia Conference on Knowledge Discovery & Data Mining, 1997.
15. Z. Huang and M. Ng. "A Fuzzy k-Modes Algorithm for Clustering Categorical Data", in IEEE Records on Fuzzy Systems, Vol 7(4), pp. 446-452, August 1999.
16. C. Li and G. Biswas. "Conceptual Clustering With Numeric-and-Nominal Mixed Data-A New Similarity Based System", in IEEE Transcript on KCE 1998.
17. E. Han, G. Karypis, V. Kumar, and B. Mobasher. "Clustering Based on Association Rule Hypergraphs", in Proceedings of SIGMOD '97 Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD'97), May 1997.
18. H. Ralambondrainy. "A Conceptual Version of the K-Means Algorithm" in Pattern Recognition Letters, Vol. 16, pp. 1147-1157, 1995.
19. D. Goodall. "A New Similarity Index Based On Probability" in Biometrics, Vol. 22(4), pp. 882-907, 1966.
20. B. Everitt and S. Rabe-Hesketh, The Analysis of Proximity Data, Wiley, New York, 1997.
21. J. Gower. "A General Coefficient of Similarity and Some of Its Properties" in Biometrics, Vol. 27(4), pp. 857-871, 1971.
22. Pawlak, Z. "Rough Sets", in International Journal of Computer and Informational Sciences, Vol. 11, no. 5, pp. 341-356, 1982.
23. Pawlak, Z. Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht, 1991.
24. Pawlak, Z. "Rough Classification" in International Journal of Man-Machine Studies, Vol. 20(5), pp. 469-483, 1984.