Sentence examples for important principal components from inspiring English sources

The loading plot (Fig. 7) showed that the cork and other tissues were obviously separated by the two most important principal components.

Throughout the monitoring period, two important principal components (PCs) were significant with eigenvalues > 1, explaining higher total variance of 59.35, 76.74 and 70.58% for January, April and June, respectively (Table 3 and Fig. 2).

In this section we propose a method for covariate shift adaption which uses Principal Component Analysis (PCA) [12] to extract the most important principal components and normalizes these components by shifting a window over the data to reduce the effect of non-stationarity.

The photon noise in the image is not correlated between pixels and does not contribute to the important principal components.

PCA extracted four important principal components with eigenvalues >1, which explained 81.76% of total variance in the data set.

To confirm the most important principal components (PC) of these samples we prepared score plots for each dataset.

The first and most important principal component (PC1) of WAIS-R subtests determined in the normal population is mostly weighted (or loaded) on verbal ability.

The third most important principal component, explaining 8% of the variability, comprised a general measure of patient anxiety (measured by both EQoL and POS), and family anxiety (measured by POS).

The most important canonical principal component, CPC1, accounts for ~40% of the total strain energy exerted by WT cells (Fig.  4).

Longitudinal variability seems to be the most important regularity revealed by principal components analysis (PCA) and mapping, indicating the division of the whole area into western and eastern main provinces.

It is important to note that while principal components are orthogonal, variables with high loadings on different components will not necessarily be so.