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Volumn 34, Issue 11, 2008, Pages 1288-1291

Variable selection based on principal basis analysis

Author keywords

Dimension reduction; Gram Schmidt process; Principal basis; Variable selection

Indexed keywords

ANALYSIS METHODS; CASE STUDIES; CONSTRUCTION METHODS; DIMENSION REDUCTION; GRAM-SCHMIDT PROCESS; ORTHOGONAL BASES; PRINCIPAL BASIS; REDUNDANT VARIABLES; VARIABLE SELECTION; VARIABLE SETS;

EID: 57949110905     PISSN: 10015965     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (6)
  • 3
    • 0030683126 scopus 로고    scopus 로고
    • Principal component analysis based on a subset of variables: Variable selection and sensitivity analysis
    • Yutaka Tanaka, Yoichi Mori. Principal component analysis based on a subset of variables: variable selection and sensitivity analysis[J]. American Journal of Mathematical and Management Sciences, 1997, 17(1-2): 61-89
    • (1997) American Journal of Mathematical and Management Sciences , vol.17 , Issue.1-2 , pp. 61-89
    • Tanaka, Y.1    Mori, Y.2
  • 4
    • 48549083786 scopus 로고    scopus 로고
    • Gram-Schmidt regression and application in cutting tool abrasion prediction
    • Chinese source
    • Wang Huiwen, Chen Meiling, Gilbert Saporta. Gram-Schmidt regression and application in cutting tool abrasion prediction[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(6): 729-733 (in Chinese)
    • (2008) Journal of Beijing University of Aeronautics and Astronautics , vol.34 , Issue.6 , pp. 729-733
    • Wang, H.1    Chen, M.2    Saporta, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.