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Figure 5
(a) Amount of explained variance in the data for each principal component. The lower line shows the fraction of explained variance, while the upper line shows the cumulative explained variance. The first four components explain in total 70% of the variability in the data set. (b) Plot of the eigenvalues for each component. A component is generally considered significant if its eigenvalue is higher than 2. Using this criterion, the first four components are significant and thus describe meaningful data.

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