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Volumn , Issue , 2013, Pages

Identification of non-disjoint clusters with small and parameterizable overlaps

Author keywords

[No Author keywords available]

Indexed keywords

BETWEEN CLUSTERS; CLUSTERING ACCURACY; CLUSTERING DATA; K-MEANS ALGORITHM; OVERLAPPING CLUSTERS; OVERLAPPING DATA; REAL-LIFE APPLICATIONS; USER EXPECTATIONS;

EID: 84879848529     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAT.2013.6522010     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 1
    • 0004008854 scopus 로고
    • Pattern recognition with fuzzy objective function algoritms
    • J. C. Bezdek, "Pattern recognition with fuzzy objective function algoritms." Plenum Press, vol. 4(2), pp. 67-76, 1981.
    • (1981) Plenum Press , vol.4 , Issue.2 , pp. 67-76
    • Bezdek, J.C.1
  • 2
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelised fuzzy c-means algorithm with application in medical image segmentation
    • D. Zhang and S. Chen, "A novel kernelised fuzzy c-means algorithm with application in medical image segmentation," Artificial Intelligence in Medicine, vol. 32, no. 1, pp. 37-50, 2004.
    • (2004) Artificial Intelligence in Medicine , vol.32 , Issue.1 , pp. 37-50
    • Zhang, D.1    Chen, S.2
  • 5
    • 77957966293 scopus 로고    scopus 로고
    • An extended version of the k-means method for overlapping clustering
    • Florida, USA: IEEE
    • G. Cleuziou, "An extended version of the k-means method for overlapping clustering." in International Conference on Pattern Recognition ICPR. Florida, USA: IEEE, 2008, pp. 1-4.
    • (2008) International Conference on Pattern Recognition ICPR , pp. 1-4
    • Cleuziou, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.