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Volumn 5305 LNCS, Issue PART 4, 2008, Pages 492-503

Sample sufficiency and PCA dimension for statistical shape models

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL METHODS;

EID: 56749176675     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88693-8_36     Document Type: Conference Paper
Times cited : (10)

References (25)
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  • 3
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    • Senior Member-Alejandro R Frangi
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    • Relation of sample size to the stability of component patterns
    • Guadagnoli, E., Velicer, W.: Relation of sample size to the stability of component patterns. Psychological Bulletin 103, 265-275 (1988)
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    • Guadagnoli, E.1    Velicer, W.2
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    • An empirical test of the utility of the observations-to-variables ratio in factor and components analysis
    • Arrindell, W., van der Ende, J.: An empirical test of the utility of the observations-to-variables ratio in factor and components analysis. Applied Psychological Measurement 9(2), 165-178 (1985)
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    • Arrindell, W.1    van der Ende, J.2
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    • A comparison of component and factor patterns: A monte carlo approach
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    • Effects of size of sample on eigenvalues, observed communalities. and factor loadings
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    • Stopping rules in principal components analysis: A comparison of heuristical and statistical approaches
    • Jackson, D.: Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74. 2204-2214 (1993)
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    • Jackson, D.1
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    • Assessing the stability of principal components using regression
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    • PCA stability and choice of dimensionality
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.