| EXAMINING LARGE DATABASES:A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS |
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| 引用本文： | ROBERT R.MEGLEN Department of Chemistry,Laboratory for Chemometrics,University of Colorado at Denver,PO Box,Denver,CO -,U.S.A.. EXAMINING LARGE DATABASES:A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS[J]. 地理学报(英文版), 1991, 0(3) |
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| 作者姓名： | ROBERT R.MEGLEN Department of Chemistry Laboratory for Chemometrics University of Colorado at Denver PO Box Denver CO - U.S.A. |
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| 作者单位： | ROBERT R.MEGLEN Department of Chemistry，Laboratory for Chemometrics，University of Colorado at Denver，PO Box 173364，Denver，CO 80217-3364，U.S.A. |
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| 摘 要： | Principal component analysis is used to examine large multivariate databases.The graphical approachto exploratory data analysis is described and illustrated with a single example of chemical compositiondata obtained on environmental dust particles.While the graphical approach to exploratory data analysishas certain advantages over the numerical procedures,the empirical approach described here should beviewed as complementary to the more robust treatments that statistical methodologies afford.
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EXAMINING LARGE DATABASES:A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS |
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| ROBERT R.MEGLEN. EXAMINING LARGE DATABASES:A CHEMOMETRIC APPROACH USING PRINCIPAL COMPONENT ANALYSIS[J]. Journal of Geographical Sciences, 1991, 0(3) |
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| Authors: | ROBERT R.MEGLEN |
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| Affiliation: | ROBERT R.MEGLEN Department of Chemistry,Laboratory for Chemometrics,University of Colorado at Denver,PO Box,Denver,CO -,U.S.A. |
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| Abstract: | Principal component analysis is used to examine large multivariate databases.The graphical approach to exploratory data analysis is described and illustrated with a single example of chemical composition data obtained on environmental dust particles.While the graphical approach to exploratory data analysis has certain advantages over the numerical procedures,the empirical approach described here should be viewed as complementary to the more robust treatments that statistical methodologies afford. |
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| Keywords: | Principal component analysis Factor analysis Chemornetrics Exploratory data analysis |
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