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Volumn , Issue , 2007, Pages

Dimensionality reduction techniques for data exploration

Author keywords

[No Author keywords available]

Indexed keywords

DIMENSIONALITY REDUCTION TECHNIQUES; NON-LINEAR DIMENSIONALITY REDUCTION;

EID: 50449085420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2007.4449863     Document Type: Conference Paper
Times cited : (26)

References (16)
  • 1
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    • Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
    • M. Belkin, P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation," Neural Computation, vol. 15, no. 2, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.2 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 0037948870 scopus 로고    scopus 로고
    • Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
    • D. Donoho and C. Grimes, "Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data," Proc. Natl Acad. Sci. USA, 2003.
    • (2003) Proc. Natl Acad. Sci. USA
    • Donoho, D.1    Grimes, C.2
  • 6
    • 50449102077 scopus 로고    scopus 로고
    • Linear and Nonlinear Data Dimensionality Reduction,
    • MIT, April 2002
    • D. Gering, "Linear and Nonlinear Data Dimensionality Reduction," Area Exam Report, MIT, April 2002.
    • Area Exam Report
    • Gering, D.1
  • 9
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • K. Pearson, "On lines and planes of closest fit to systems of points in space," Phil. Mag., Ser. B, vol. 2, no. 11, pp. 559-572, 1901.
    • (1901) Phil. Mag., Ser. B , vol.2 , Issue.11 , pp. 559-572
    • Pearson, K.1
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    • Dec
    • S. Roweis, L. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, pp. 2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 11
    • 2342517502 scopus 로고    scopus 로고
    • Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
    • L. Saul, S. Roweis, "Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds," Journal of Machine Learning Research, vol. 4, pp. 119-155, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.1    Roweis, S.2
  • 12
    • 0034704229 scopus 로고    scopus 로고
    • A Global Geometric Framework for Nonlinear Dimensionality Reduction
    • Dec
    • J. Tenenbaum, V. de Silva, J. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol. 290, pp. 2319-2323, Dec. 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    de Silva, V.2    Langford, J.3
  • 13
    • 84950351930 scopus 로고
    • Multidimensional scaling: I. Theory and method
    • W.S. Torgerson, "Multidimensional scaling: I. Theory and method," Psychometrika, vol. 17, pp. 401-419, 1952.
    • (1952) Psychometrika , vol.17 , pp. 401-419
    • Torgerson, W.S.1
  • 16
    • 14544307975 scopus 로고    scopus 로고
    • Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
    • Z. Zhang and H. Zha, "Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment," SIAM Journal on Scientific Computing, 26(1), 313-318, 2005.
    • (2005) SIAM Journal on Scientific Computing , vol.26 , Issue.1 , pp. 313-318
    • Zhang, Z.1    Zha, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.