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ACM International Conference Proceeding Series
Volumn , Issue , 2010, Pages 34-40
Some context fuzzy clustering methods for classification problems
Author keywords

classification; fuzzy rules; parallel fuzzy clustering
Indexed keywords

CLASSIFICATION; FUZZY CLUSTERING METHOD; HUMAN DEVELOPMENT INDEX; MEMBER COUNTRIES; PARALLEL FUZZY CLUSTERING; PARALLEL SOLUTIONS; UNITED NATIONS;
EID: 78349267982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1852611.1852619     Document Type: Conference Paper
Times cited : (11)
References (9)
  • 1
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    • DOI 10.1016/j.fss.2006.06.006, PII S0165011406002508
    • A.F. Gobi, W. Pedrycz. 2006. The potential of fuzzy neural networks in the realization of approximation reasoning engines. Fuzzy Sets and Systems. 157. 2954-2973 (Pubitemid 44528752)
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.22 , pp. 2954-2973
    • Gobi, A.F.1    Pedrycz, W.2
  • 2
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    • DOI 10.1016/S0165-0114(01)00088-4, PII S0165011401000884
    • G. Bortolan, W. Pedrycz. 2002. Linguistic neurocoomputing: the design of neural networks in the framework of fuzzy sets. Fuzzy Sets and Systems. Vol 128. 389-412 (Pubitemid 34531614)
    • (2002) Fuzzy Sets and Systems , vol.128 , Issue.3 , pp. 389-412
    • Bortolan, G.1    Pedrycz, W.2
  • 3
    • 78349292521 scopus 로고    scopus 로고
    • Learning and Tuning of Fuzzy Rules
    • Eds. Hung T. Nguyen, Michio Sugeno, Kluwer Academic Pub.
    • Hamis R. Berenji. 1998. Learning and Tuning of Fuzzy Rules. in Fuzzy Systems Modeling and Control. Eds. Hung T. Nguyen, Michio Sugeno, Kluwer Academic Pub. 291-309
    • (1998) Fuzzy Systems Modeling and Control , pp. 291-309
    • Berenji, H.R.1
  • 4
  • 5
    • 0001550176 scopus 로고    scopus 로고
    • Fuzzy set technology in data mining and knowledge discovery
    • W. Pedrycz. 1998. Fuzzy set technology in data mining and knowledge discovery. Fuzzy Sets and Systems. Vol 3. 279-290
    • (1998) Fuzzy Sets and Systems , vol.3 , pp. 279-290
    • Pedrycz, W.1
  • 6
    • 0027695455 scopus 로고
    • Fuzzy-set based models of neuron and knowledge-based networks
    • W. Pedrycz, A. Rocha. 1993. Fuzzy-set based models of neuron and knowledge-based networks. IEEE Trans Fuzzy Systems. Vol 1. 254-266
    • (1993) IEEE Trans Fuzzy Systems , vol.1 , pp. 254-266
    • Pedrycz, W.1    Rocha, A.2
  • 7
    • 9244227617 scopus 로고    scopus 로고
    • Heterogeneous fuzzy logic networks: Fundamentals and developments studies
    • W. Pedrycz. 2004. Heterogeneous fuzzy logic networks: fundamentals and developments studies. IEEE Trans Neural Networks 15. 1466-1481
    • (2004) IEEE Trans Neural Networks , vol.15 , pp. 1466-1481
    • Pedrycz, W.1
  • 8
    • 4944220798 scopus 로고    scopus 로고
    • Senatore, P-FCM: A Proximity-Based Fuzzy Clustering
    • W Pedrycz, V.Loia. 2004. S. Senatore, P-FCM: a Proximity-Based Fuzzy Clustering. Fuzzy Sets and Systems. 148, 21-42
    • (2004) Fuzzy Sets and Systems , vol.148 , pp. 21-42
    • Pedrycz, W.1    Loia, V.2
  • 9
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    • Fast and Robust Fuzzy CMeans Clustering Algorithms Incorporating Local Information for Image Segmentation
    • Elsevier
    • W. Cai, S. Chen, D. Zhang. 2007. Fast and Robust Fuzzy CMeans Clustering Algorithms Incorporating Local Information for Image Segmentation. Journal of Pattern Recognition. Elsevier. Volume 40. Issue 3. 825-838
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    • Cai, W.1    Chen, S.2    Zhang, D.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.