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Volumn 34, Issue 3, 2008, Pages 2013-2018

An algorithm to cluster data for efficient classification of support vector machines

Author keywords

Computational complexity; Density based clustering algorithm; Machine learning; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA REDUCTION; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 37349046499     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.02.016     Document Type: Article
Times cited : (28)

References (13)
  • 1
    • 37349105081 scopus 로고    scopus 로고
    • Chang, C. C. & Lin, C. J. (2001). LIBSVM: A library for support vector machines. Available at: .
  • 2
    • 34249753618 scopus 로고
    • Support-vector networks
    • Corinna C., and Vladimir V. Support-vector networks. Machine Learning 20 3 (1995) 273-297
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Corinna, C.1    Vladimir, V.2
  • 3
    • 0037399781 scopus 로고    scopus 로고
    • Polynomial-time decomposition algorithms for support vector machine
    • Don H., and Clint S. Polynomial-time decomposition algorithms for support vector machine. Machine Learning 51 1 (2003) 51-71
    • (2003) Machine Learning , vol.51 , Issue.1 , pp. 51-71
    • Don, H.1    Clint, S.2
  • 4
    • 0036161242 scopus 로고    scopus 로고
    • Text categorization with support vector machines. how to represent texts in input space?
    • Edda L., and Jörg K. Text categorization with support vector machines. how to represent texts in input space?. Machine Learning 46 1-3 (2002) 423-444
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 423-444
    • Edda, L.1    Jörg, K.2
  • 5
    • 37349035959 scopus 로고    scopus 로고
    • Hsu, C. W., Chang, C. C. & Lin, C. J. (2003). A practical guide to support vector classification. Available at: .
  • 7
    • 14644441659 scopus 로고    scopus 로고
    • Multidimensional support vector machines for visualization of gene expression data
    • Komura D., Nakamura H., Tsutsumi S., and Aburatani H. Multidimensional support vector machines for visualization of gene expression data. Bioinformatics 21 4 (2005) 439-444
    • (2005) Bioinformatics , vol.21 , Issue.4 , pp. 439-444
    • Komura, D.1    Nakamura, H.2    Tsutsumi, S.3    Aburatani, H.4
  • 8
    • 84950251817 scopus 로고    scopus 로고
    • Marcelo, B. D. A., Antônio, D. P. B. & João, P. B. (2000). SVM-KM: Speeding SVMs learning with a priori cluster selection and k-means. Neural Networks, 2000. In: Proceedings of the sixth Brazilian symposium, November 22-25, pp. 162-167.
  • 9
    • 37349058328 scopus 로고    scopus 로고
    • Martin, E., Kriegel, H. P., Jörg, S. & Xiaowei, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of second international conference on knowledge discovery and data mining, Portland, pp. 226-231.
  • 10
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy prediction model
    • Shin K.S., Lee T.S., and Kim H.J. An application of support vector machines in bankruptcy prediction model. Expert Systems with Applications 28 1 (2005) 127-135
    • (2005) Expert Systems with Applications , vol.28 , Issue.1 , pp. 127-135
    • Shin, K.S.1    Lee, T.S.2    Kim, H.J.3
  • 12
    • 1542376001 scopus 로고    scopus 로고
    • Tran, Q. A., Zhang, Q. L. & Li, X. (2003). Reduce the number of support vectors by using clustering techniques. In: Proceedings of the second international conference on machine learning and cybernetics, November 2-5, pp. 1245-1248.
  • 13
    • 0142026415 scopus 로고    scopus 로고
    • A fast SVM training algorithm based on the set segmentation and k-means clustering
    • Yang X., Lin D., Hao Z., Liang Y., Liu G., and Han X. A fast SVM training algorithm based on the set segmentation and k-means clustering. Progress in Natural Science 13 10 (2003) 750-755
    • (2003) Progress in Natural Science , vol.13 , Issue.10 , pp. 750-755
    • Yang, X.1    Lin, D.2    Hao, Z.3    Liang, Y.4    Liu, G.5    Han, X.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.