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Volumn , Issue , 2008, Pages

A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING RESULTS; FCM ALGORITHM; NORMAL MIXTURE MODELS; REAL WORLD DATA; TRAINING DATA; UCI REPOSITORY;

EID: 77957954004     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 1
    • 77957961790 scopus 로고    scopus 로고
    • Best of both: A hybridized Centroid-Me_rfsti Proc. of the 24th International Conference on Machine Learning
    • N. Grira, & M. E. Houle. Best of Both: A Hybridized Centroid-MeClustering Heuristic. Proc. of the 24th International Conference on Machine Learning, 2007.
    • (2007)
    • Grira, N.1    Houle, M.E.2
  • 2
    • 0016046280 scopus 로고
    • Some recent investigations of a new fuzzy partition algorithm and its application to pattern classification problems
    • J.C. Dunn. Some recent investigations of a new fuzzy partition algorithm and its application to pattern classification problems. Cybernetics, pages 1-15, 1974.
    • (1974) Cybernetics , pp. 1-15
    • Dunn, J.C.1
  • 6
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden Markov models
    • ICSI-TR-97-021
    • J. Bilmes. A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Technical Report, University of Berkeley, ICSI-TR-97-021, 1997.
    • (1997) Technical Report, University of Berkeley
    • Bilmes., J.1
  • 7
    • 0034228914 scopus 로고    scopus 로고
    • Assessing a mixture model for clustering with the integrated completed likelihood
    • July
    • C. Biernacki, G. Celeux and G. Govaert. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no.7, pp. 719-725, July 2000.
    • (2000) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.22 , Issue.7 , pp. 719-725
    • Biernacki, C.1    Celeux, G.2    Govaert, G.3
  • 10
    • 2942534051 scopus 로고    scopus 로고
    • Improving fuzzy c-means clustering based on feature-weight learning
    • X. Wang, Y. Wang, L. Wang. Improving fuzzy c-means clustering based on feature-weight learning, Pattern Recognition Letters, vol. 25, pp. 1123-1132,2004.
    • (2004) Pattern Recognition Letters , vol.25 , pp. 1123-1132
    • Wang, X.1    Wang, Y.2    Wang, L.3
  • 11
    • 33644976711 scopus 로고    scopus 로고
    • On fast supervised learning for normal mixture models with missing information
    • T.I. Lin, J.C. Lee and H.J. Ho. On fast supervised learning for normal mixture models with missing information. Pattern Recognition, vol. 39, pp. 1177- 1187, 2006.
    • (2006) Pattern Recognition , vol.39 , pp. 1177-1187
    • Lin, T.I.1    Lee, J.C.2    Ho, H.J.3
  • 13
    • 77957966881 scopus 로고    scopus 로고
    • http://archive.ics.uci.edu/ml/datasets.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.