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Volumn 87, Issue 9, 2007, Pages 2260-2267

Unsupervised data reduction

Author keywords

Data reduction; Exploratory data analysis; Nonnegative matrix factorisation

Indexed keywords

DATA ACQUISITION; FUZZY CLUSTERING; UNSUPERVISED LEARNING;

EID: 34247614991     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2007.02.006     Document Type: Article
Times cited : (27)

References (12)
  • 2
    • 84931162639 scopus 로고
    • The condensed nearest neighbor rule
    • Hart P. The condensed nearest neighbor rule. IEEE Trans. Inf. Theory 14 5 (1968) 515-516
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.5 , pp. 515-516
    • Hart, P.1
  • 3
    • 0001899045 scopus 로고    scopus 로고
    • Improved heterogeneous distance functions
    • Wilson D.R., and Martinez T.R. Improved heterogeneous distance functions. J. Artif. Intell. Res. 6 1 (1997) 1-34
    • (1997) J. Artif. Intell. Res. , vol.6 , Issue.1 , pp. 1-34
    • Wilson, D.R.1    Martinez, T.R.2
  • 4
    • 0040788584 scopus 로고    scopus 로고
    • Nearest neighbour editing and condensing tools-synergy exploitation
    • Dasarathy B.V., Sánchez J.S., and Townsend S. Nearest neighbour editing and condensing tools-synergy exploitation. Pattern Anal. Appl. 3 1 (2000) 19-30
    • (2000) Pattern Anal. Appl. , vol.3 , Issue.1 , pp. 19-30
    • Dasarathy, B.V.1    Sánchez, J.S.2    Townsend, S.3
  • 6
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee D., and Seung H. Learning the parts of objects by non-negative matrix factorization. Nature 401 6755 (1999) 788-791
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.1    Seung, H.2
  • 7
    • 34247646816 scopus 로고    scopus 로고
    • C.-Y. Liou, K.-D.O. Yang, Unsupervised classification of remote sensing imagery with non-negative matrix factorization, Proceedings of the Twelfth International Conference on Neural Inf. Proc., Taipei, Taiwan, 30 October-2 November 2005.
  • 8
    • 33646424384 scopus 로고    scopus 로고
    • O. Okun, H. Priisalu, Fast nonnegative matrix factorization and its application for protein fold recognition, EURASIP J. Appl. Signal Process(Article ID 71817) (2006) 8, 〈http://www.hindawi.com/GetArticle.aspx?doi=10.1155/ASP/2006/71817〉.
  • 9
    • 33750620445 scopus 로고    scopus 로고
    • Initialization enhancer for nonnegative matrix factorization
    • Zheng Z., Yang J., and Zhu Y. Initialization enhancer for nonnegative matrix factorization. Eng. Appl. Artif. Intell. 20 1 (2007) 101-110
    • (2007) Eng. Appl. Artif. Intell. , vol.20 , Issue.1 , pp. 101-110
    • Zheng, Z.1    Yang, J.2    Zhu, Y.3
  • 10
    • 33749255098 scopus 로고    scopus 로고
    • C. Ding, X. He, H.D. Simon, On the equivalence of nonnegative matrix factorization and spectral clustering, Proceedings of the SIAM International Conference on Data Mining, Newport Beach, CA, 21-23 April 2005, pp. 606-610.
  • 11
    • 33646411744 scopus 로고    scopus 로고
    • C. Ding, X. He, H.D. Simon, Nonnegative Lagrangian relaxation of K-means and spectral clustering, Proceedings of the Sixteenth European Conference on Machine Learning, Porto, Portugal, 3-7 October 2005, pp. 530-538.
  • 12
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., de Silva V., and Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290 5500 (2000) 2319-2323
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.