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Volumn 2, Issue , 2005, Pages 457-464

Fuzzy c-means classifier for incomplete data sets with outliers and missing values

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; FUZZY SETS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MEMBERSHIP FUNCTIONS; PROBLEM SOLVING;

EID: 33845249633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (17)
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    • Robust regression using iteratively reweighted least-squares
    • P. W. Holland, and R. E. Welsch, "Robust regression using iteratively reweighted least-squares, "Communications in Statistics, vol. A6, no. 9, pp. 813-827, 1977.
    • (1977) Communications in Statistics , vol.A6 , Issue.9 , pp. 813-827
    • Holland, P.W.1    Welsch, R.E.2
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    • 0028497290 scopus 로고
    • Maximum likelihood training of probabilistic neural networks
    • R. L. Streit and T. E. Luginbuhl, "Maximum likelihood training of probabilistic neural networks," IEEE Transactions on Neural Networks, vol.5, no.5, pp.764-783, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.5 , pp. 764-783
    • Streit, R.L.1    Luginbuhl, T.E.2
  • 10
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analysers
    • M.E. Tipping, C.M. Bishop, "Mixtures of probabilistic principal component analysers, "Neural Computation, Vol.11, pp.443-482, 1999.
    • (1999) Neural Computation , vol.11 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 11
    • 26844514824 scopus 로고    scopus 로고
    • Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models
    • K. Honda, H. Ichihashi, "Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models," IEEE Trans. Fuzzy Syst., vol.13, no.4, pp.508-516, 2005.
    • (2005) IEEE Trans. Fuzzy Syst , vol.13 , Issue.4 , pp. 508-516
    • Honda, K.1    Ichihashi, H.2
  • 12
    • 1942532746 scopus 로고    scopus 로고
    • Linear fuzzy clustering techniques with missing values and their application to local principal component analysis
    • K. Honda, H. Ichihashi, "Linear fuzzy clustering techniques with missing values and their application to local principal component analysis," IEEE Trans. Fuzzy Syst., vol.12, no.2, pp.183-193, 2004.
    • (2004) IEEE Trans. Fuzzy Syst , vol.12 , Issue.2 , pp. 183-193
    • Honda, K.1    Ichihashi, H.2
  • 13
    • 3943049970 scopus 로고    scopus 로고
    • Component-wise robust linear fuzzy clustering for collaborative filtering
    • K. Honda, H. Ichihashi, "Component-wise robust linear fuzzy clustering for collaborative filtering," Int. J. Approximate Reasoning., vol.37, no.2, pp. 127-144, 2004.
    • (2004) Int. J. Approximate Reasoning , vol.37 , Issue.2 , pp. 127-144
    • Honda, K.1    Ichihashi, H.2
  • 15
    • 2442439081 scopus 로고    scopus 로고
    • Genetic programming for data classification: Partitioning the search space,
    • Nicosia, Cyprus, March 14-17, pp
    • J. Eggermont, J.N. Kok and W.A. Kosters, "Genetic programming for data classification: Partitioning the search space, "In Proc. 19th Annual ACM Symposium on Applied Computing, Nicosia, Cyprus, March 14-17, pp. 1001-1005, 2004.
    • (2004) Proc. 19th Annual ACM Symposium on Applied Computing , pp. 1001-1005
    • Eggermont, J.1    Kok, J.N.2    Kosters, W.A.3
  • 17
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    • The nearest sub-class classifier: A compromise between the nearest mean and nearest neighbor classifier
    • C.J. Veenman, M.J.T. Reinders, "The nearest sub-class classifier: a compromise between the nearest mean and nearest neighbor classifier," IEEE Transactions on PAMI, vol.27, no.9, pp. 1417-1429,2005.
    • (2005) IEEE Transactions on PAMI , vol.27 , Issue.9 , pp. 1417-1429
    • Veenman, C.J.1    Reinders, M.J.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.