메뉴 건너뛰기




Volumn 16, Issue 6, 2005, Pages 659-672

Variable selection and interpretation in correlation principal components

Author keywords

Correlation principal components; Principal component analysis; Principal variables; Procrustes analysis; Variable selection

Indexed keywords

PRINCIPAL COMPONENT ANALYSIS;

EID: 24944437188     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.728     Document Type: Article
Times cited : (54)

References (10)
  • 3
    • 0001247848 scopus 로고
    • Loadings and correlations in the interpretation of principal components
    • Cadima JFCL, Jolliffe IT. 1995. Loadings and correlations in the interpretation of principal components. Journal of Applied Statistics 22(2): 203-214.
    • (1995) Journal of Applied Statistics , vol.22 , Issue.2 , pp. 203-214
    • Cadima, J.F.C.L.1    Jolliffe, I.T.2
  • 4
    • 0000146283 scopus 로고
    • Discarding variables in a principal component analysis - I: Artificial data
    • Jolliffe IT. 1972. Discarding variables in a principal component analysis - I: artificial data. Applied Statistics 21: 160-173.
    • (1972) Applied Statistics , vol.21 , pp. 160-173
    • Jolliffe, I.T.1
  • 5
    • 0002008085 scopus 로고
    • Discarding variables in a principal component analysis - II: Real data
    • Jolliffe IT. 1973. Discarding variables in a principal component analysis - II: real data. Applied Statistics 22: 21-31.
    • (1973) Applied Statistics , vol.22 , pp. 21-31
    • Jolliffe, I.T.1
  • 7
    • 0033036852 scopus 로고    scopus 로고
    • Variable selection in large environmental data sets using principal components analysis
    • King JR, Jackson DA. 1999. Variable selection in large environmental data sets using principal components analysis. Environmetrics 10: 67-77.
    • (1999) Environmetrics , vol.10 , pp. 67-77
    • King, J.R.1    Jackson, D.A.2
  • 8
    • 0002457803 scopus 로고
    • Selection of variables to preserve multivariate data structure using principal components
    • Krzanowski WJ. 1987. Selection of variables to preserve multivariate data structure using principal components. Applied Statistics 36: 22-33.
    • (1987) Applied Statistics , vol.36 , pp. 22-33
    • Krzanowski, W.J.1
  • 9
    • 0021427712 scopus 로고
    • Principal variables
    • McCabe GP. 1984. Principal variables. Technometrics 26(2): 137-144.
    • (1984) Technometrics , vol.26 , Issue.2 , pp. 137-144
    • McCabe, G.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.