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Volumn 5, Issue , 2005, Pages 3198-3203

Embedding via clustering: Using spectral information to guide dimensionality reduction

Author keywords

[No Author keywords available]

Indexed keywords

DATA AFFINITY MATRIX; DIMENSIONALITY REDUCTION; EIGEN DECOMPOSITION; OBJECTIVE FUNCTION;

EID: 33750136905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556439     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 1
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Mikhail Belkin and Partha Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 3
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualisation of high dimensional data
    • Sebastian Thrun. Lawrence Saul, and Bernhard Schölkopf. editors. MIT Press, Cambridge, MA
    • Neil D. Lawrence. Gaussian process latent variable models for visualisation of high dimensional data. In Sebastian Thrun. Lawrence Saul, and Bernhard Schölkopf. editors. Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16
    • Lawrence, N.D.1
  • 6
    • 84898999170 scopus 로고    scopus 로고
    • Multiple relational embedding
    • Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors MIT Press, Cambridge, MA
    • Roland Memisevic and Geoffrey Hinton. Multiple relational embedding. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors. Advances in Neural Information Processing Systems 17. MIT Press, Cambridge, MA, 2005.
    • (2005) Advances in Neural Information Processing Systems , vol.17
    • Memisevic, R.1    Hinton, G.2
  • 7
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors. Cambridge, MA, MIT Press
    • A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors. Advances in Neural Information Processing Systems 14, Cambridge, MA, 2002. MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 8
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S.T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000.
    • (2000) Science , pp. 290
    • Roweis, S.T.1    Saul, L.K.2
  • 9
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A.J. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.-R.3
  • 10
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Joshua B. Tenenbaum, Vin de Silva, and John C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, pages 2319-2323, 2000.
    • (2000) Science , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.