Sentence examples for large principal component from inspiring English sources

We also used sub- scales of the NPI-Q in the analyses, based on a previous large principal component analysis conducted with data from Norwegian nursing home patients [ 23].

After retaining the first t large principal components and leaving out the rest less significant principal components of Ξ s and Γ s, a dimension reduced sub matrix equation is given as follows (14) Γ s t = Ξ s t X.

CPV TH = 90% is used to determine the number of retained large principal components of each sub weight matrix W s. There are almost no visual differences in both three dimensional (3D) views and sections of the results reconstructed from the reduced weight matrix using PCA and the original weight matrix in the two experiments.

Moreover, the direction of the largest principal component was a significant differentiator between the control and patient populations: the left and right amygdala coefficients were substantially higher in the case of patients, and the coefficients of Brodmann Area 9 were, to a lesser extent, higher in controls.

The largest principal component (13.6% of the total variation) positioned Holstein apart from Hanwoo samples.

The largest principal component was used to define the axis of the cilium.

The dominant axis of rotation in this balanced set was subsequently estimated as the largest principal component of the aggregate rotation matrix R_Sigma = Sum_t (R_balanced(t)) (i.e. the arithmetic sum of all the sampled rotation matrices) [ 39].

Then PCA is applied to the covariance matrix C, and M largest principal components are used for the feature extraction as follows Y i = X i − X ― T D (19).

The GA identifies a set of features (wavelengths) that optimize the separation of the classes in a plot of the two or three largest principal components of the data.

To visualize the high-dimensional trajectories and capture the entire dynamics, we used principle components analysis (PCA) on the gene expression profiles and plotted trajectories in the phase space of the three largest principal components (Fig. 4).

Figure 8 shows the relative co-ordinates of individuals when plotted using the two largest principal components.