Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in the data set 1. It accomplishes this reduction ...
In addition to the PCA scores other data including the physical properties, functional groups and environmental data has been included to aid in the rational selection of solvents. 272 Solvents ...
The following is a summary of “Comparison in prostate cancer diagnosis with PSA 4–10 ng/mL: radiomics-based model VS. PI-RADS ...
Individual diving events are scored by a panel of seven judges. Once all seven judges submit their scores for a dive, the highest two scores and lowest two scores are eliminated. The remaining three ...
Figure 4. Principal Component Analysis (PCA) scores plot (top) displaying clustering of the Ginger EO samples according to their origin. The heatmap (bottom) allows one to quickly highlight ...
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