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Volumn E90-A, Issue 10, 2007, Pages 2194-2202

Fuzzy c-means algorithms for data with tolerance based on opposite criterions

Author keywords

Clustering; Fuzzy c means; Reliability of the clustering result; Tolerance

Indexed keywords

FITS AND TOLERANCES; FUZZY CLUSTERING; FUZZY SYSTEMS; OPTIMIZATION;

EID: 68249138529     PISSN: 09168508     EISSN: 17451337     Source Type: Journal    
DOI: 10.1093/ietfec/e90-a.10.2194     Document Type: Conference Paper
Times cited : (12)

References (8)
  • 2
    • 0002927067 scopus 로고    scopus 로고
    • Methods in hard and fuzzy clustering
    • ed. Z.-Q. Liu and S. Miyamoto, Springer-Verlag, Tokyo
    • S. Miyamoto and K. Umayahara, "Methods in hard and fuzzy clustering," in Soft Computing and Human-Centered Machines, ed. Z.-Q. Liu and S. Miyamoto, Springer-Verlag, Tokyo, 2000.
    • (2000) Soft Computing and Human-Centered Machines
    • Miyamoto, S.1    Umayahara, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.