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Volumn 29, Issue 5, 1996, Pages 859-871

Partially supervised clustering for image segmentation

Author keywords

Cluster analysis; Fuzzy c means; Image segmentation; Magnetic resonance images; Partial supervision

Indexed keywords

ALGORITHMS; FUNCTIONS; FUZZY SETS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; OPTIMIZATION; PROBABILITY; VECTORS;

EID: 0030150519     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(95)00120-4     Document Type: Article
Times cited : (234)

References (13)
  • 1
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    • Review of MR image segmentation techniques using pattern recognition
    • J. C. Bezdek, L. Hall and L. Clarke, Review of MR image segmentation techniques using pattern recognition, Med. Phys. 20(4), 1033-1048 (1993).
    • (1993) Med. Phys. , vol.20 , Issue.4 , pp. 1033-1048
    • Bezdek, J.C.1    Hall, L.2    Clarke, L.3
  • 4
    • 0014534297 scopus 로고
    • A new approach to clustering
    • E. H. Ruspini, A New Approach to Clustering, Inform. Control. 15, 22-32 (1969).
    • (1969) Inform. Control. , vol.15 , pp. 22-32
    • Ruspini, E.H.1
  • 6
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • Krishnapuram, R. and Keller, J. A possibilistic approach to clustering, IEEE Trans. Fuzzy Syst. 1(2), 98-110 (1993).
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , Issue.2 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.2
  • 7
    • 0001931761 scopus 로고
    • Algorithms of fuzzy clustering with partial supervision
    • W. Pedrycz, Algorithms of fuzzy clustering with partial supervision, Pattern Recognition Lett. 3, 13-20 (1985).
    • (1985) Pattern Recognition Lett. , vol.3 , pp. 13-20
    • Pedrycz, W.1
  • 9
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • J. C. Bezdek, Cluster validity with fuzzy sets, J. Cybernet. 3(3), 58-73 (1974).
    • (1974) J. Cybernet. , vol.3 , Issue.3 , pp. 58-73
    • Bezdek, J.C.1
  • 10
    • 0003000735 scopus 로고
    • Faster-learning variations on back-propagation: An empirical study
    • Morgan Kaufmann, San Mateo, California
    • S. E. Fahlman, Faster-learning variations on back-propagation: an empirical study, Proc. 1988 Connectionist Models Summer School. Morgan Kaufmann, San Mateo, California (1988).
    • (1988) Proc. 1988 Connectionist Models Summer School
    • Fahlman, S.E.1
  • 13
    • 0026925678 scopus 로고
    • A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
    • L. O. Hall, A. Bensaid, R. Velthuizen, L. Clarke, M. Silbiger and J. Bezdek, A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain, IEEE Trans. Neural Networks 3(5), 672-682 (1992).
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 672-682
    • Hall, L.O.1    Bensaid, A.2    Velthuizen, R.3    Clarke, L.4    Silbiger, M.5    Bezdek, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.