Sentence examples for dominating principal components from inspiring English sources

One of the methods is based on first using PCA on raw data and then relating dominating principal components to the design variables.

The artificial neural network (ANN) is employed to classify the selected dominated principal components for the purpose of diagnosing the gear deterioration.

Finally, the spectral images are processed in ENVI+IDL (ITT Visual Information Solutions, Boulder, CO, USA) using a minimum noise fraction (MNF) algorithm that removes the noise dominated principal components.

This observation is in parallel to the ν1 dominated first principal component score prior discussed.

Body weight is a common covariable in disease (Reed et al., 2008), so it is not surprising that it dominates the principal component analysis.

This is because it will not retain principal components dominated by a single variable whose correlations with other variables are close to zero.

DSLT was highly correlated with a topographical factor (i.e., slope gradient) that dominated the first principal component (PC), which explained 39% of the variance.

Principal component analysis in dihedral space supports the same conclusions: As shown in the left panel of Fig. 4, the projection of the native trajectory on the plane defined by the first two principal components is dominated by a single slightly bilobal peak accounting for more than 80% of the total simulation time and corresponding to the helical structure of residues 1 7 (as shown in Fig. 1).

Loss of native backbone H-bonds and increase in Rg dominates the second and third principal components under 500 K and 600 K.

Tail height dominated the second component (shape) of the principal components analysis (PCA; Table 2), and tail height compared to size reliably separated aquatic from terrestrial individuals.

The first two principal components, which capture 82% of the variance (Figure S3), appear to be dominated by differences between sample groups while principal component 3 captures variation largely within sample groups.