Hierarchical principal component analysi
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K. Janné; J. Pettersen; N.-O. Lindberg; T. Lundstedt
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Article
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2001
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John Wiley and Sons
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English
⚖ 172 KB
👁 1 views
## Abstract Spectroscopic data consists of several hundred to some thousand variables, wherein most of the variables are autocorrelated. When PCA and PLS techniques are used for the interpretation of these kinds of data, the loading plots are usually complex due to the covariation in the spectrum,