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Volumn 1, Issue , 2001, Pages 401-406

Unsupervised clustering and feature discrimination with application to image database categorization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; FEATURE EXTRACTION; FUZZY SETS; ITERATIVE METHODS; MEMBERSHIP FUNCTIONS; OSCILLATORS (ELECTRONIC);

EID: 0035792774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (19)
  • 4
    • 0033706762 scopus 로고    scopus 로고
    • Simultaneous clustering and attribute discrimination
    • San Antonio, Texas
    • H. Frigui and O. Nasraoui. Simultaneous clustering and attribute discrimination. In Proc. IEEE Conf. on Fuzzy Systems, pages 158-163, San Antonio, Texas, 2000.
    • (2000) Proc. IEEE Conf. on Fuzzy Systems , pp. 158-163
    • Frigui, H.1    Nasraoui, O.2
  • 7
    • 0018057468 scopus 로고
    • Fuzzy clustering with a fuzzy covariance matrix
    • San Diego, California
    • E. E. Gustafson and W. C. Kessel. Fuzzy clustering with a fuzzy covariance matrix. In IEEE CDC, pages 761-766, San Diego, California, 1979.
    • (1979) IEEE CDC , pp. 761-766
    • Gustafson, E.E.1    Kessel, W.C.2
  • 10
    • 85021112585 scopus 로고
    • Feature subset selection using the wrapper model: Overfitting and dynamic search space topology
    • R. Kohavi and D. Sommerfield. Feature subset selection using the wrapper model: Overfitting and dynamic search space topology. In 1st Int. Conf. on Knowledge Discovery and Data Mining, pages 192-197, 1995.
    • (1995) 1st Int. Conf. on Knowledge Discovery and Data Mining , pp. 192-197
    • Kohavi, R.1    Sommerfield, D.2
  • 11
    • 85104260032 scopus 로고
    • Efficient algorithms for minimizing cross validation error
    • In W. C. and H. Hirsh, editor
    • M. S. Lee and A. W. Moore. Efficient algorithms for minimizing cross validation error. In W. C. and H. Hirsh, editor, Machine Learning: Proc. eleventh international conf., pages 190-198. 1994.
    • (1994) Machine Learning: Proc. Eleventh International Conf. , pp. 190-198
    • Lee, M.S.1    Moore, A.W.2
  • 12
    • 0003840341 scopus 로고    scopus 로고
    • Columbia object image library (coil-20)
    • Technical report, Department of Computer Science, Columbia University
    • S. A. Nene, S. K. Nayar, and H. Murase. Columbia object image library (coil-20). Technical report, Department of Computer Science, Columbia University, http://www.cs.columbia.edu/CAVE/ 1996.
    • (1996)
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3
  • 16
    • 0012657799 scopus 로고
    • Prototype and feature selection by sampling and random mutation hill climbing algorithms
    • D. Skalak. Prototype and feature selection by sampling and random mutation hill climbing algorithms. In Eleventh International Machine Learning Conference (ICML-94), pages 293-301, 1994.
    • (1994) Eleventh International Machine Learning Conference (ICML-94) , pp. 293-301
    • Skalak, D.1
  • 18
    • 0031073477 scopus 로고    scopus 로고
    • A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
    • D. Wettschereck, D. W. Aha, and T. Mohri. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review, 11:273-314, 1997.
    • (1997) Artificial Intelligence Review , vol.11 , pp. 273-314
    • Wettschereck, D.1    Aha, D.W.2    Mohri, T.3
  • 19
    • 0023855863 scopus 로고
    • On ordered weighted averaging aggregation operators in multicriteria decision making
    • R. R. Yager. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on systems, Man, and Cybernetics, 18(1):183-190, 1988.
    • (1988) IEEE Transactions on Systems, Man, and Cybernetics , vol.18 , Issue.1 , pp. 183-190
    • Yager, R.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.