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Volumn 52, Issue 10-11, 2006, Pages 1563-1576

Rough Set-Based Clustering with Refinement Using Shannon's Entropy Theory

Author keywords

Clustering algorithm; Refinement; Rough set; Shannon's entropy; Similarity

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; DATA REDUCTION; NUMERICAL METHODS; PROBLEM SOLVING;

EID: 33846858620     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2006.03.033     Document Type: Article
Times cited : (53)

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    • An, A.1    Chan, C.2    Shan, N.3    Cercone, N.4    Ziarko, W.5
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    • Knowledge acquisition in incomplete fuzzy information systems via the rough set approach
    • Wu W.-Z., Zhang W.-X., and Li H.-Z. Knowledge acquisition in incomplete fuzzy information systems via the rough set approach. Expert Systems 20 5 (2003) 280-286
    • (2003) Expert Systems , vol.20 , Issue.5 , pp. 280-286
    • Wu, W.-Z.1    Zhang, W.-X.2    Li, H.-Z.3
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    • Y.Y. Yao, X. Li, T.Y. Lin and Q. Liu, Representation and classification of rough set models, In Proceedings of Third International Workshop on Rough Sets and Soft Computing, pp. 630-637, (1994).
  • 12
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    • C.E. Shannon, A mathematical theory of communication, Reprinted with corrections, The Bell System Technical Journal 27, 379-423, 623-656, (1948).
  • 16
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    • A rough set based clustering algorithm and the information theoretical approach to refine clusters
    • 15-19 June, 2004, Vol. 5
    • Wang Q., Dai H., and Sun Y. A rough set based clustering algorithm and the information theoretical approach to refine clusters. Proceedings of the 5th World Congress on Intelligent Control and Automation. 15-19 June, 2004, Vol. 5 (2004) 4287-4291
    • (2004) Proceedings of the 5th World Congress on Intelligent Control and Automation , pp. 4287-4291
    • Wang, Q.1    Dai, H.2    Sun, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.