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Multiple factor analysis in environmental chemistry
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DOI：10.1016/j.aca.2005.04.054.png)
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摘要
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In environmental chemistry studies, it may be necessary to analyze data sets constituted by different blocks of variables, possibly of different types, measured on the same samples. Multiple factor analysis (MFA) is presented as a tool for exploring such data. The most important features of MFA are shown on a real environmental data set, consisting of two blocks of data, namely heavy metals and polycyclic aromatic hydrocarbons, measured for sediment samples. They are discussed and compared to principal component analysis (PCA). The usefulness of the weighting scheme used in MFA as a preprocessing step for other chernometric methods, such as clustering, is also highlighted. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
exploratory analysis
MFA
weighting
procrustes analysis
matching data tables
STATIS
期刊
IF:
6
论文数:
3.3W
被引数:
6.1W
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