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Volumn 1, Issue , 2002, Pages 98-103

An efficient optimality test for the fuzzy c-means algorithm

Author keywords

Fixed points; Fuzzy clustering; Hessian matrix; Local minimum

Indexed keywords

FUZZY C-MEANS ALGORITHM; HESSIAN MATRIX;

EID: 0036458238     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (10)
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  • 2
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    • Convergence theory for fuzzy c-means: Counter-examples and repairs
    • Sept./Oct.
    • J.C. Bezdek, R.J. Hathaway, M.J. Sabin, W. Tucker, "Convergence theory for fuzzy c-means: Counter-examples and repairs", IEEE Trans. SMC, 17(5), 873-877, Sept./Oct. 1987
    • (1987) IEEE Trans. SMC , vol.17 , Issue.5 , pp. 873-877
    • Bezdek, J.C.1    Hathaway, R.J.2    Sabin, M.J.3    Tucker, W.4
  • 3
    • 0022690032 scopus 로고
    • On the local optimality of the Fuzzy ISODATA clustering algorithm
    • March
    • S. Z. Selim and M. A. Ismail, "On the local optimality of the Fuzzy ISODATA clustering algorithm", IEEE Trans. PAMI, 8(2), 284-288, March 1986.
    • (1986) IEEE Trans. PAMI , vol.8 , Issue.2 , pp. 284-288
    • Selim, S.Z.1    Ismail, M.A.2
  • 4
    • 0022927456 scopus 로고
    • Fuzzy c-means: Optimality of the solutions and effective termination of the algorithm
    • M.A. Ismail and S.Z. Sleim, "Fuzzy c-means: optimality of the solutions and effective termination of the algorithm", Pattern Recognition, 19(6), 481-485, 1986
    • (1986) Pattern Recognition , vol.19 , Issue.6 , pp. 481-485
    • Ismail, M.A.1    Sleim, S.Z.2
  • 5
    • 0024192973 scopus 로고
    • Optimality tests for fixed points of the fuzzy c-means algorithm
    • T. Kim, J.C. Bezdek & R.J. Hathaway, "optimality tests for fixed points of the fuzzy c-means algorithm", Pattern Recognition, 21(6),651-663, 1988
    • (1988) Pattern Recognition , vol.21 , Issue.6 , pp. 651-663
    • Kim, T.1    Bezdek, J.C.2    Hathaway, R.J.3
  • 6
    • 0031999331 scopus 로고    scopus 로고
    • A method of identifying influential data in fuzzy clustering
    • H. Imai, A. Tanaka & M. Miyakoshi, "A method of identifying influential Data in Fuzzy clustering", IEEE Trans. Fuzzy Systems, 6(1),90-101, 1998
    • (1998) IEEE Trans. Fuzzy Systems , vol.6 , Issue.1 , pp. 90-101
    • Imai, H.1    Tanaka, A.2    Miyakoshi, M.3
  • 7
    • 0012017769 scopus 로고    scopus 로고
    • Analysis of the weighting exponent in the FCM
    • Sep.
    • Jian Yu, Q. Cheng & H. Huang, "Analysis of the weighting exponent in the FCM", submitted to SMC-part B, Sep., 2001.
    • (2001) SMC-Part B
    • Yu, J.1    Cheng, Q.2    Huang, H.3
  • 8
    • 0016951409 scopus 로고
    • A physical interpretation of fuzzy ISODATA
    • J.C. Bezdek, "A physical interpretation of Fuzzy ISODATA", IEEE Trans. SMC, SMC-6, 387-390, 1976
    • (1976) IEEE Trans. SMC , vol.SMC-6 , pp. 387-390
    • Bezdek, J.C.1
  • 9
    • 57849144858 scopus 로고
    • Optimization of clustering criteria by reformulation
    • May
    • R. J. Hathaway and J.C. Bezdek, "Optimization of Clustering Criteria by Reformulation", IEEE Trans. Fuzzy Systems, 3(2), May, 1995.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.2
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 10
    • 0026977775 scopus 로고
    • On the optimal choice of parameters in a fuzzy c-means algorithm
    • H. Choe and J. B. Jordan, "On the optimal choice of parameters in a fuzzy c-means algorithm", IEEE Intern. Con. on Fuzzy Systems, pp. 349-354, 1992.
    • (1992) IEEE Intern. Con. on Fuzzy Systems , pp. 349-354
    • Choe, H.1    Jordan, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.