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Volumn 15, Issue 1, 2000, Pages 656-659

Unsupervised clustering method with optimal estimation of the number of clusters: Application to image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; PATTERN RECOGNITION;

EID: 33750935628     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (65)

References (7)
  • 2
    • 33750930670 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using 2-D AR modeling and a stochastic version of the em procedure
    • Sept.
    • C. Cariou and K. Chehdi. Unsupervised texture segmentation using 2-D AR modeling and a stochastic version of the EM procedure. In EUPSICO, pages 1877-1880, Sept. 1996.
    • (1996) EUPSICO , pp. 1877-1880
    • Cariou, C.1    Chehdi, K.2
  • 3
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • Sept.
    • S. Chiu. Fuzzy model identification based on cluster estimation. Journal of intelligent and fuzzy systems, 2(3), Sept. 1994.
    • (1994) Journal of Intelligent and Fuzzy Systems , vol.2 , Issue.3
    • Chiu, S.1
  • 7
    • 0025505758 scopus 로고
    • A model-fitting approach to cluster validation with application to stochastic model-based image segmentation
    • Oct.
    • J. Zhang and J. W. Modestino. A model-fitting approach to cluster validation with application to stochastic model-based image segmentation. IEEE Trans, PAMI, 12(10):1009-1017, Oct. 1990.
    • (1990) IEEE Trans, PAMI , vol.12 , Issue.10 , pp. 1009-1017
    • Zhang, J.1    Modestino, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.