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Volumn , Issue , 2004, Pages

Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and spectral clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

EID: 33947233031     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (585)

References (16)
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    • Random matrix approximation of spectra of integral operators
    • Koltchinskii, V. and Gińe, E. (2000). Random matrix approximation of spectra of integral operators. Bernoulli, 6(1):113-167.
    • (2000) Bernoulli , vol.6 , Issue.1 , pp. 113-167
    • Koltchinskii, V.1    Gińe, E.2
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    • On spectral clustering: Analysis and an algorithm
    • Dietterich, T. G. Becker, S. and Ghahramani, Z. editors, Cambridge, MA. MIT Press
    • Ng, A. Y., Jordan, M. I., and Weiss, Y. (2002). On spectral clustering: Analysis and an algorithm. In Dietterich, T. G., Becker, S., and Ghahramani, Z., editors, Advances in Neural Information Processing Systems 14, Cambridge, MA. MIT Press.
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  • 9
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    • Roweis, S. and Saul, L. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326.
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    • Roweis, S.1    Saul, L.2
  • 10
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • Saul, L. and Roweis, S. (2002). Think globally, fit locally: unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research, 4:119-155.
    • (2002) Journal of Machine Learning Research , vol.4 , pp. 119-155
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  • 11
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    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scḧolkopf, B., Smola, A., and M̈uller, K.-R. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319.
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    • The stability of kernel principal components analysis and its relation to the process eigenspectrum
    • Becker, S. Thrun, S. and Obermayer, K. editors, The MIT Press
    • Shawe-Taylor, J. and Williams, C. (2003). The stability of kernel principal components analysis and its relation to the process eigenspectrum. In Becker, S., Thrun, S., and Obermayer, K., editors, Advances in Neural Information Processing Systems, volume 15. The MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15
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    • A global geometric framework for nonlinear dimensionality reduction
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.