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Volumn , Issue , 2007, Pages 1296-1303

Multiobjective approach to categorical data clustering

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLUSTERING; EUCLIDEAN DISTANCE; MULTIOBJECTIVE GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION PROBLEMS;

EID: 79955223421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424620     Document Type: Conference Paper
Times cited : (18)

References (21)
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    • A fuzzy k-modes algorithm for clustering categorical data
    • Z. Huang and M. K. Ng, "A fuzzy k-modes algorithm for clustering categorical data," IEEE Transactions on Fuzzy Systems, vol. 7, no. 4, 1999.
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.4
    • Huang, Z.1    Ng, M.K.2
  • 10
    • 85133775397 scopus 로고    scopus 로고
    • A comprehensive survey of evolutionary-based multiobjective optimization techniques
    • C. A. Coello Coello, "A comprehensive survey of evolutionary-based multiobjective optimization techniques," Knowledge and Information Systems, vol. 1, no. 3, pp. 129-156, 1999.
    • (1999) Knowledge and Information Systems , vol.1 , Issue.3 , pp. 129-156
    • Coello Coello, C.A.1
  • 12
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • Paris, France: Springer. Lecture Notes in Computer Science No. 1917
    • K. Deb, S. Agrawal, A. Pratab, and T. Meyarivan, "A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II," in Proc. Parallel Problem Solving from Nature VI Conference, pp. 849-858, Paris, France: Springer. Lecture Notes in Computer Science No. 1917, 2000.
    • (2000) Proc. Parallel Problem Solving from Nature VI Conference , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratab, A.3    Meyarivan, T.4
  • 13
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • P. Rousseeuw, "Silhouettes: a graphical aid to the interpretation and validation of cluster analysis," J. Comp. App. Math, vol. 20, pp. 53-65, 1987.
    • (1987) J. Comp. App. Math , vol.20 , pp. 53-65
    • Rousseeuw, P.1
  • 15
    • 33845331424 scopus 로고    scopus 로고
    • Multiobjective clustering and cluster validation
    • Springer
    • J. Handl and J. Knowles, Multiobjective Clustering and Cluster Validation, vol. 16 of Computational Intelligence, pp. 21-47. Springer, 2006.
    • (2006) Computational Intelligence , vol.16 , pp. 21-47
    • Handl, J.1    Knowles, J.2
  • 16
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang, "Extensions to the k-means algorithm for clustering large data sets with categorical values," Data Mining Knowledge Discovery, vol. 2, no. 3, pp. 283-304, 1998.
    • (1998) Data Mining Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 20
    • 0033715579 scopus 로고    scopus 로고
    • Genetic algorithm based clustering technique
    • U. Maulik and S. Bandyopadhyay, "Genetic algorithm based clustering technique," Pattern Recognition, vol. 33, pp. 1455-1465, 2000.
    • (2000) Pattern Recognition , vol.33 , pp. 1455-1465
    • Maulik, U.1    Bandyopadhyay, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.