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Volumn , Issue , 2011, Pages

Large-scale Sparse Principal Component Analysis with application to text data

Author keywords

[No Author keywords available]

Indexed keywords

COORDINATE ASCENT; INTERPRETABILITY; LARGE DATASETS; LARGE-SCALES; LINEAR COMBINATIONS; PRE-PROCESSING; REAL LIFE DATA; SPARSE PRINCIPAL COMPONENT ANALYSIS; TEXT DATA; VERY LARGE DATUM;

EID: 85162556142     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (16)
  • 1
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    • A direct formulation of sparse PCA using semidefinite programming
    • A. d'Aspremont, L. El Ghaoui, M. Jordan, and G. Lanckriet. A direct formulation of sparse PCA using semidefinite programming. SIAM Review, 49(3), 2007.
    • (2007) SIAM Review , vol.49 , Issue.3
    • D'aspremont, A.1    El Ghaoui, L.2    Jordan, M.3    Lanckriet, G.4
  • 2
    • 69049101180 scopus 로고    scopus 로고
    • High-dimensional analysis of semidefinite relaxations for sparse principal components
    • A.A. Amini and M. Wainwright. High-dimensional analysis of semidefinite relaxations for sparse principal components. The Annals of Statistics, 37(5B):2877-2921, 2009.
    • (2009) The Annals of Statistics , vol.37 B , Issue.5 , pp. 2877-2921
    • Amini, A.A.1    Wainwright, M.2
  • 3
    • 0002226018 scopus 로고
    • Rotation of principal components: Choice of normalization constraints
    • I. T. Jolliffe. Rotation of principal components: choice of normalization constraints. Journal of Applied Statistics, 22:29-35, 1995.
    • (1995) Journal of Applied Statistics , vol.22 , pp. 29-35
    • Jolliffe, I.T.1
  • 4
    • 0001247848 scopus 로고
    • Loadings and correlations in the interpretation of principal components
    • J. Cadima and I. T. Jolliffe. Loadings and correlations in the interpretation of principal components. Journal of Applied Statistics, 22:203-214, 1995.
    • (1995) Journal of Applied Statistics , vol.22 , pp. 203-214
    • Cadima, J.1    Jolliffe, I.T.2
  • 9
    • 43049086717 scopus 로고    scopus 로고
    • Sparse principal component analysis via regularized low rank matrix approximation
    • July
    • Haipeng Shen and Jianhua Z. Huang. Sparse principal component analysis via regularized low rank matrix approximation. J. Multivar. Anal., 99:1015-1034, July 2008.
    • (2008) J. Multivar. Anal. , vol.99 , pp. 1015-1034
    • Shen, H.1    Huang, J.Z.2
  • 13
    • 41549101939 scopus 로고    scopus 로고
    • Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data
    • March
    • O.Banerjee, L. El Ghaoui, and A. d'Aspremont. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data. Journal of Machine Learning Research, 9:485-516, March 2008.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 485-516
    • Banerjee, O.1    El Ghaoui, L.2    D'aspremont, A.3
  • 15
    • 0004055894 scopus 로고    scopus 로고
    • Cambridge University Press, New York, NY, USA
    • Stephen Boyd and Lieven Vandenberghe. Convex Optimization. Cambridge University Press, New York, NY, USA, 2004.
    • (2004) Convex Optimization
    • Boyd, S.1    Vandenberghe, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.