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Volumn , Issue , 2005, Pages 646-651

Fuzzy c-means for fuzzy hierarchical clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTIONS; FUZZY CONTROL; MATHEMATICAL MODELS;

EID: 23944480670     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (51)

References (15)
  • 2
    • 0032671460 scopus 로고    scopus 로고
    • On fuzzy distances and their use in image processing under imprecision
    • I. Bloch, (1999), On fuzzy distances and their use in image processing under imprecision, Pattern Recognition, 32 1873-1895.
    • (1999) Pattern Recognition , vol.32 , pp. 1873-1895
    • Bloch, I.1
  • 3
    • 0037118555 scopus 로고    scopus 로고
    • A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition
    • A. Devillez, P. Billaudel, G. Villermain Lecolier, (2002), A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition, Fuzzy Sets and Systems, 128 323-338.
    • (2002) Fuzzy Sets and Systems , vol.128 , pp. 323-338
    • Devillez, A.1    Billaudel, P.2    Villermain Lecolier, G.3
  • 5
    • 0033280284 scopus 로고    scopus 로고
    • Hierarchical unsupervised fuzzy clustering
    • A. B. Geva, (1999), Hierarchical Unsupervised Fuzzy Clustering, IEEE Trans. on Fuzzy Systems, 7:6 723-733.
    • (1999) IEEE Trans. on Fuzzy Systems , vol.7 , Issue.6 , pp. 723-733
    • Geva, A.B.1
  • 6
    • 0000612344 scopus 로고    scopus 로고
    • Gaussian mixture PDF approximation and fuzzy c-means clustering with entropy regularization
    • May 31-June 3, Tsukuba, Japan
    • H. Ichihashi, K. Honda, N. Tani, (2000), Gaussian mixture PDF approximation and fuzzy c-means clustering with entropy regularization, Proc. of the 4th Asian Fuzzy System Symposium, May 31-June 3, Tsukuba, Japan, 217-221.
    • (2000) Proc. of the 4th Asian Fuzzy System Symposium , pp. 217-221
    • Ichihashi, H.1    Honda, K.2    Tani, N.3
  • 9
    • 23944481898 scopus 로고    scopus 로고
    • Fuzzy c-means with variables for cluster sizes
    • Akita, Sept.6-8, (in Japanese)
    • S. Miyamoto, K. Umayahara, (2000), Fuzzy c-means with variables for cluster sizes, 16th Fuzzy System Symposium, Akita, Sept.6-8, 537-538 (in Japanese).
    • (2000) 16th Fuzzy System Symposium , pp. 537-538
    • Miyamoto, S.1    Umayahara, K.2
  • 10
    • 0002927067 scopus 로고    scopus 로고
    • Methods in Hard and Fuzzy Clustering
    • Z.-Q. Liu, S. Miyamoto (Eds.), Springer-Tokyo
    • S. Miyamoto, K. Umayahara, (2000), Methods in Hard and Fuzzy Clustering, pp 85-129 in Z.-Q. Liu, S. Miyamoto (Eds.), Soft Computing and Human-Centered Machines, Springer-Tokyo.
    • (2000) Soft Computing and Human-Centered Machines , pp. 85-129
    • Miyamoto, S.1    Umayahara, K.2
  • 11
    • 0003408496 scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • P. M. Murphy, D. W. Aha, (1994), UCI Repository machine learning databases, http://www.ics.uci.edu/mlearn/MLRepository.html, Irvine, CA: University of California, Department of Information and Computer Science.
    • (1994) UCI Repository Machine Learning Databases
    • Murphy, P.M.1    Aha, D.W.2
  • 14
    • 10644269818 scopus 로고    scopus 로고
    • Exploration of textual databases using a fuzzy hierarchical clustering algorithm in the GAMBAL system
    • Information Processing and Management, in press
    • V. Torra, S. Miyamoto, S. Lanau, Exploration of textual databases using a fuzzy hierarchical clustering algorithm in the GAMBAL system, Information Processing and Management, Information Processing and Management, in press.
    • Information Processing and Management
    • Torra, V.1    Miyamoto, S.2    Lanau, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.