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Volumn 23, Issue 1, 2010, Pages 11-16

A fuzzy cluster validity index based on clustering mistake measures

Author keywords

Fuzzy C means clustering; Inter class overlapping; Intra class non consistency; Validity index

Indexed keywords

CLUSTER VALIDITY INDICES; CLUSTERING RESULTS; FUZZY C MEANS CLUSTERING; FUZZY CLUSTERS; FUZZY PARTITION; OPTIMAL NUMBER; VALIDITY INDEX;

EID: 77951489492     PISSN: 10036059     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (15)
  • 1
    • 0016206886 scopus 로고
    • Numerical taxonomy with fuzzy sets
    • Bezdek J C. Numerical taxonomy with fuzzy sets. Journal of Mathematical Biology, 1974, 1(1): 57-71
    • (1974) Journal of Mathematical Biology , vol.1 , Issue.1 , pp. 57-71
    • Bezdek, J.C.1
  • 2
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek J C. Cluster validity with fuzzy sets. Journal of Cybernetics, 1974, 3(3): 58-72
    • (1974) Journal of Cybernetics , vol.3 , Issue.3 , pp. 58-72
    • Bezdek, J.C.1
  • 4
    • 34547434740 scopus 로고    scopus 로고
    • On fuzzy cluster validity indices
    • Wang Weina, Zhang Yunjie. On fuzzy cluster validity indices. Fuzzy Sets and Systems, 2007, 158(19): 2095-2117
    • (2007) Fuzzy Sets and Systems , vol.158 , Issue.19 , pp. 2095-2117
    • Wang, W.1    Zhang, Y.2
  • 5
    • 0030141444 scopus 로고    scopus 로고
    • Validating fuzzy partition obtained through c-shells clustering
    • Dave R N. Validating fuzzy partition obtained through c-shells clustering. Pattern Recognition Letters, 1996, 17(6): 613-623
    • (1996) Pattern Recognition Letters , vol.17 , Issue.6 , pp. 613-623
    • Dave, R.N.1
  • 6
    • 0742320762 scopus 로고    scopus 로고
    • Rule-base self-generation and simplification for data-driven fuzzy models
    • Chen Minyou, Linkens D A. Rule-base self-generation and simplification for data-driven fuzzy models. Fuzzy Sets and Systems, 2004, 142(1): 243-265
    • (2004) Fuzzy Sets and Systems , vol.142 , Issue.1 , pp. 243-265
    • Chen, M.1    Linkens, D.A.2
  • 7
    • 18444403761 scopus 로고    scopus 로고
    • A cluster validity index for fuzzy clustering
    • Wu K L, Yang M S. A cluster validity index for fuzzy clustering. Pattern Recognition Letters, 2005, 26(9): 1275-1291
    • (2005) Pattern Recognition Letters , vol.26 , Issue.9 , pp. 1275-1291
    • Wu, K.L.1    Yang, M.S.2
  • 8
    • 42949129126 scopus 로고    scopus 로고
    • Cluster validity function based on fuzzy degree
    • (in Chinese)
    • Chen Duo, Li Xue, Cui Duwu, et al. Cluster Validity Function Based on Fuzzy Degree. Pattern Recognition and Artificial Intelligence, 2008, 21(1): 34-41 (in Chinese)
    • (2008) Pattern Recognition and Artificial Intelligence , vol.21 , Issue.1 , pp. 34-41
    • Chen, D.1    Li, X.2    Cui, D.3
  • 9
    • 0001404416 scopus 로고
    • A new method of choosing the number of clusters for the fuzzy C-Means method
    • Kobe, Japan
    • Fukuyama Y, Sugeno M. A new method of choosing the number of clusters for the fuzzy C-Means method // Proc of the 5th Fuzzy Systems Symposium. Kobe, Japan, 1989: 247-250
    • (1989) Proc of the 5th Fuzzy Systems Symposium , pp. 247-250
    • Fukuyama, Y.1    Sugeno, M.2
  • 11
    • 0033167147 scopus 로고    scopus 로고
    • A new cluster-validity for fuzzy clustering
    • Zahid N, Limouri M, Essaid A. A new cluster-validity for fuzzy clustering. Pattern Recognition, 1999, 32(7): 1089-1097
    • (1999) Pattern Recognition , vol.32 , Issue.7 , pp. 1089-1097
    • Zahid, N.1    Limouri, M.2    Essaid, A.3
  • 12
    • 13944258450 scopus 로고    scopus 로고
    • Clustering validity function based on partition fuzzy degree
    • (in Chinese)
    • Gong Gaiyun. Clustering validity function based on partition fuzzy degree. Pattern Recognition and Artificial Intelligence, 2004, 17(4): 412-416 (in Chinese)
    • (2004) Pattern Recognition and Artificial Intelligence , vol.17 , Issue.4 , pp. 412-416
    • Gong, G.1
  • 13
    • 9544250381 scopus 로고    scopus 로고
    • A cluster validation for GK cluster analysis based on relative degree of sharing
    • Kim Y I, Kim D W, Lee D, et al. A cluster validation for GK cluster analysis based on relative degree of sharing. Information Science, 2004, 168(1/2/3/4): 225-242
    • (2004) Information Science , vol.168 , Issue.1-4 , pp. 225-242
    • Kim, Y.I.1    Kim, D.W.2    Lee, D.3
  • 14
    • 55349138530 scopus 로고    scopus 로고
    • UCI repository of machine learning database
    • [2009-10-20].
    • Asuncion A, Newman D J. UCI repository of machine learning database [DB/OL]. [2009-10-20]. http://www.ics.uci.edu/~mlearn/MLRepository.html
    • Asuncion, A.1    Newman, D.J.2
  • 15
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy C-means model
    • Pal N R, Bezedk J C. On cluster validity for the fuzzy C-means model. IEEE Trans on Fuzzy Systems, 1995, 3(3): 370-379
    • (1995) IEEE Trans on Fuzzy Systems , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.R.1    Bezedk, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.