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Volumn 3, Issue , 2001, Pages 1826-1831

The unsupervised niche clustering algorithm: Extension to multivariate clusters and application to color image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; GENETIC ALGORITHMS; IMAGE SEGMENTATION; MATRIX ALGEBRA; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

EID: 0035792857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 2
    • 84947441494 scopus 로고    scopus 로고
    • Blobworld: A system for region-based image indexing and retrieval
    • Amsterdam, The Netherlands
    • C. Carson, M. Thomas, S. Belongie, J. M. Hellerstein, and J. Malik. Blobworld: A system for region-based image indexing and retrieval. In VISUAL, pages 509-516, Amsterdam, The Netherlands, 1999.
    • (1999) VISUAL , pp. 509-516
    • Carson, C.1    Thomas, M.2    Belongie, S.3    Hellerstein, J.M.4    Malik, J.5
  • 4
    • 0001903624 scopus 로고
    • Genetic algorithms with sharing for multimodal function optimization
    • Cambridge, MA, Jul.
    • D. E. Goldberg and J. J. Richardson. Genetic algorithms with sharing for multimodal function optimization. In 2nd Intl. Conf. Genetic Algsorithms, pages 41-49, Cambridge, MA, Jul. 1987.
    • (1987) 2nd Intl. Conf. Genetic Algsorithms , pp. 41-49
    • Goldberg, D.E.1    Richardson, J.J.2
  • 6
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • May
    • R. Krishnapuram and J. M. Keller. A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst., 1(2):98-110, May 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , Issue.2 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.M.2
  • 7
    • 51749124296 scopus 로고
    • Fuzzy and possibilistic clustering methods for computer vision
    • In S. Mitra, M. Gupta, and W. Kraske, editors; SPIE Institute Series
    • R. Krishnapuram and J. M. Keller. Fuzzy and possibilistic clustering methods for computer vision. In S. Mitra, M. Gupta, and W. Kraske, editors, Neural and Fuzzy Systems, pages 135-159, SPIE Institute Series, 1994.
    • (1994) Neural and Fuzzy Systems , pp. 135-159
    • Krishnapuram, R.1    Keller, J.M.2
  • 8
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Berkeley, California; University of California Press
    • J. MacQueen. Some methods for classification and analysis of multivariate observations. In Fifth Berkeley Symp. on Math. Statist. and Prob., pages 281-297, Berkeley, California, 1967, University of California Press.
    • (1967) Fifth Berkeley Symp. on Math. Statist. and Prob. , pp. 281-297
    • MacQueen, J.1
  • 11
    • 0033715024 scopus 로고    scopus 로고
    • A novel approach to unsupervised robust clustering using genetic niching
    • San Antonio, TX, May
    • O. Nasraoui and R. Krishnapuram. A novel approach to unsupervised robust clustering using genetic niching. In Ninth IEEE International Conference on Fuzzy Systems, pages 170-175, San Antonio, TX, May 2000.
    • (2000) Ninth IEEE International Conference on Fuzzy Systems , pp. 170-175
    • Nasraoui, O.1    Krishnapuram, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.