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Subplots (a–d) show the PCA scores plot for four datasets. The number of samples in each dataset is shown in the top right corner of each plot. The total variance explained by a principal component (PC) is shown in parentheses next to the axis labels on each subplot. As the number of samples in a PCA decreases, the variance explained by each PC increases due to a combination of fewer samples and lesser overall variance in the dataset.
