Exact(56)
In the PCA, a correlation matrix was used.
Protocatechuic acid (PCA), a phenolic compound isolated from the kernels of Alpinia (A).
Using PCA, a covariance data matrix is used to compute eigenvectors for a set of data.
To overcome this situation, PCA, a dimension-reduction technique is employed.
The eigenface approach PCA, a well-known framework for dimensionality reduction, just rated at 86.80% in average achievement.
Figure 5 Results of dimensionality reduction through PCA (a), MAF (b), traditional MNF (c), and OMNF (d).
On reduction models based on PCA, a reduced size sample is made out of the original contribution vector.
Similar(4)
Activated networks were investigated (PCA-A) by entering mean functional MRI signal change values for each node.
Factor loadings from PCA-A and PCA-S were not correlated (r < 0.08, P > 0.49) suggesting they measure distinct attributes of the language network.
Due to the main effect of diagnostic group on factor scores from PCA-A, correlation analyses were performed in control and patient groups separately.
To confirm this factor solution provided a valid representation of the typical network structure, we recalculated PCA-A in healthy controls alone.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com