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Information was summarized by principal component analysis.
Answers to psychometric statements are summarised by principal component analysis.
Input data were analyzed by principal component method.
Irrelevant descriptors are easily detected by principal component analysis.
This simulated curve set was compressed by Principal Component Analysis.
We determined the most important parameters by Principal Component Analysis.
The data were analysed by principal component analysis (PCA).
Raman data are further processed by principal component analysis.
The classification of AEs as triptan sensations was determined by principal investigator.
Eigenface feature extraction accompanied by principal component analysis (PCA) is proposed by Turk and Pentland[9].
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