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Volumn , Issue , 2005, Pages 208-217

Provable dimension detection using principal component analysis

Author keywords

Dimension detection; Principal component analysis; Sampling

Indexed keywords

ALGORITHMS; GRAPH THEORY; PERTURBATION TECHNIQUES; PROBABILITY; SAMPLING;

EID: 33244474225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1064092.1064125     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 5
    • 0042638226 scopus 로고    scopus 로고
    • Error bounds on the power method for determining the largest eigenvalue of a symmetric, positive definite matrix
    • J. Friedman. Error bounds on the power method for determining the largest eigenvalue of a symmetric, positive definite matrix. Linear Algebra and its Applications, 280 (1998), 199-216.
    • (1998) Linear Algebra and Its Applications , vol.280 , pp. 199-216
    • Friedman, J.1
  • 6
    • 0015011520 scopus 로고
    • An algorithm for finding intrinsic dimensionality of data
    • K. Fukunaga, D. R. Olsen. An algorithm for finding intrinsic dimensionality of data. IEEE Transaction on Computers, 20 (1971), 176-183.
    • (1971) IEEE Transaction on Computers , vol.20 , pp. 176-183
    • Fukunaga, K.1    Olsen, D.R.2
  • 7
    • 0038038200 scopus 로고    scopus 로고
    • Shape dimension and intrinsic metric from samples of manifolds with high co-dimension
    • J. Giesen and U. Wagner. Shape dimension and intrinsic metric from samples of manifolds with high co-dimension. Proc. 19th Annu. ACM Sympos. Comput. Geom., 2002, 329-337.
    • (2002) Proc. 19th Annu. ACM Sympos. Comput. Geom. , pp. 329-337
    • Giesen, J.1    Wagner, U.2
  • 12
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva, and J.C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290 (2000), 2319-2323.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.