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Volumn 3885 LNAI, Issue , 2006, Pages 362-371

On the use of variable-size fuzzy clustering for classification

Author keywords

Classification; Clustering; Entropy based fuzzy c means; Fuzzy c means; Variable size fuzzy c means

Indexed keywords

ENTROPY; LEARNING SYSTEMS; NUMERICAL ANALYSIS; PROBLEM SOLVING;

EID: 33745591397     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11681960_35     Document Type: Conference Paper
Times cited : (2)

References (13)
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    • Bioinformatics data analysis using an artificial immune network
    • ICARIS 2003
    • Barreto Bezerra, G., Nunes de Castro, L., (2003), Bioinformatics Data Analysis Using an Artificial Immune Network, ICARIS 2003, Lecture notes in Computer Science 2787 22-33.
    • (2003) Lecture Notes in Computer Science , vol.2787 , pp. 22-33
    • Barreto Bezerra, G.1    Nunes De Castro, L.2
  • 7
    • 0000612344 scopus 로고    scopus 로고
    • Gaussian mixture PDF approximation and fuzzy c-means clustering with entropy regularization
    • May 31-June 3, Tsukuba, Japan
    • Ichihashi, H., Honda, K., Tani, N., (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
    • 0003362899 scopus 로고    scopus 로고
    • Z.-Q. Liu, S. Miyamoto (Eds.), Soft Computing and Human-Centered Machines, Springer-Tokyo
    • Miyamoto, S., Umayahara, K., (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) Methods in Hard and Fuzzy Clustering , pp. 85-129
    • Miyamoto, S.1    Umayahara, K.2
  • 12
    • 23944481898 scopus 로고    scopus 로고
    • Fuzzy c-means with variables for cluster sizes
    • Akita, Sept.6-8, (in Japanese)
    • Miyamoto, S., Umayahara, K., (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
  • 13
    • 33745616194 scopus 로고    scopus 로고
    • http://rana.lbl.gov/EisenData.htm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.