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Volumn 58, Issue 1, 2004, Pages 72-76

Criteria for Evaluating Dimension-Reducing Components for Multivariate Data

Author keywords

Linear prediction; Principal components; Rotated components; Simple components

Indexed keywords


EID: 1342331599     PISSN: 00031305     EISSN: 15372731     Source Type: Journal    
DOI: 10.1198/0003130042863     Document Type: Article
Times cited : (16)

References (18)
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  • 3
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    • Criteria for Evaluating Dimension-Reducing Components for Multivariate Data
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  • 4
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  • 5
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  • 7
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    • Rotation of Principal Components: Choice of Normalization Constraints
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  • 9
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  • 10
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  • 11
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    • Simple Structure in Component Analysis Techniques for Mixtures of Qualitative and Quantitative Variables
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  • 12
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    • Principal Variables
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  • 14
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    • Optimality of Principal Components
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  • 15
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  • 16
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  • 18
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    • Simple Principal Components
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.