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Volumn , Issue , 2006, Pages

Hybrid fuzzy-SV clustering for heart disease identification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; DISEASES; PARAMETER ESTIMATION; PARAMETERIZATION; SUPPORT VECTOR MACHINES;

EID: 38949196760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2006.114     Document Type: Conference Paper
Times cited : (11)

References (10)
  • 2
    • 84974743850 scopus 로고    scopus 로고
    • Fuzzy model identification based on cluster estimation
    • S. L. Chiu. Fuzzy model identification based on cluster estimation. Journal of Intelligent Fuzzy Systems, 2:267-278.
    • Journal of Intelligent Fuzzy Systems , vol.2 , pp. 267-278
    • Chiu, S.L.1
  • 3
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy c-means algorithm with application in medical image segmentation
    • S.-C. C. Dao-Qiang Zhang. A novel kernelized fuzzy c-means algorithm with application in medical image segmentation. Artificial Intelligence in Medicine, 32(1):37-50, 2004.
    • (2004) Artificial Intelligence in Medicine , vol.32 , Issue.1 , pp. 37-50
    • Dao-Qiang Zhang, S.-C.C.1
  • 6
    • 0018057468 scopus 로고
    • Fuzzy clustering with a fuzzy covariance matrix
    • E. Gustafson and W. Kessel. Fuzzy clustering with a fuzzy covariance matrix. In: IEEE CDC, pages 761-766, 1979.
    • (1979) In: IEEE CDC , pp. 761-766
    • Gustafson, E.1    Kessel, W.2
  • 7
    • 38949085579 scopus 로고    scopus 로고
    • J.-A. M. Lemke, F. Medical data analysis using self-organizing data mining technologies. Script Software, Germany.
    • J.-A. M. Lemke, F. Medical data analysis using self-organizing data mining technologies. Script Software, Germany.
  • 8
    • 0022682981 scopus 로고
    • Efficient implementation of the fuzzy c-means clustering algorithms
    • J. D. R.L. Cannon and J. Bezdek. Efficient implementation of the fuzzy c-means clustering algorithms. IEEE Trans. PAMI, 8:248-255, 1986.
    • (1986) IEEE Trans. PAMI , vol.8 , pp. 248-255
    • Cannon, J.D.R.L.1    Bezdek, J.2
  • 9
    • 0028746080 scopus 로고    scopus 로고
    • H. H. I. T. H. K. F. U. S. Umano, M. Okamoto and J. Kinoshita. Fuzzy decision trees by fuzzy id3 algorithm and its application to diagnosis system. Proceedings of Third IEEE International Conference on Fuzzy Systems, 3:2113-2118, 1994.
    • H. H. I. T. H. K. F. U. S. Umano, M. Okamoto and J. Kinoshita. Fuzzy decision trees by fuzzy id3 algorithm and its application to diagnosis system. Proceedings of Third IEEE International Conference on Fuzzy Systems, 3:2113-2118, 1994.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.