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Volumn , Issue , 2010, Pages 619-628

Convex principal feature selection

Author keywords

Convex optimization; Dimensionality reduction; Feature selection; Principal component analysis; Sparsity

Indexed keywords

COMBINATORIAL OPTIMIZATION; CONVEX OPTIMIZATION; DATA MINING; FEATURE EXTRACTION;

EID: 77956505189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972801.54     Document Type: Conference Paper
Times cited : (55)

References (18)
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    • McCabe, G.P.1
  • 3
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Isabelle Guyon and André; Elisseeff. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157-1182, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 7
    • 0002457803 scopus 로고
    • Selection of variables to preserve multivariate data structure, using principal components
    • W. J. Krzanowski. Selection of variables to preserve multivariate data structure, using principal components. Applied Statistics, 36(1):22-33, 1987.
    • (1987) Applied Statistics , vol.36 , Issue.1 , pp. 22-33
    • Krzanowski, W.J.1
  • 8
    • 17444406668 scopus 로고    scopus 로고
    • Identifying critical variables of principal components for unsupervised feature selection
    • K. Z. Mao. Identifying critical variables of principal components for unsupervised feature selection. IEEE transactions on system, man, and cyberbetics-part B: cyberbetics, 35(2):339-344, 2005.
    • (2005) IEEE Transactions on System, Man, and Cyberbetics-part B: Cyberbetics , vol.35 , Issue.2 , pp. 339-344
    • Mao, K.Z.1
  • 13
    • 84966262179 scopus 로고
    • Updating quasi-newton matrices with limited storage
    • Jorge Nocedal. Updating quasi-newton matrices with limited storage. Mathematics of Computation, 35(151):773-782, 1980.
    • (1980) Mathematics of Computation , vol.35 , Issue.151 , pp. 773-782
    • Nocedal, J.1
  • 18
    • 0033569406 scopus 로고    scopus 로고
    • Molecular clasification of cancer: Class discorvery and class prediction by gene expression monitoring
    • J. H. Golub and D. K. Slonim. Molecular clasification of cancer: Class discorvery and class prediction by gene expression monitoring. Science, 286:537-537, 1999.
    • (1999) Science , vol.286 , pp. 537-537
    • Golub, J.H.1    Slonim, D.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.