However, the push-through principal is retained and surgeons cannot anticipate, avoid or recognise entry injury.
The number of principal components retained was selected empirically: k=100 for the appearance-based descriptors and k=60 for VGG.
For the sake of completeness, results are also reported when the number of fuzzysets and the number of principal components retained after the application of PCA is varied (see Table 3).
In order to avoid extrapolation problems that would result from the poor availability of information, additional equations that confines the solution to the subset where information is available (the space spanned by the main principal components retained for correlation) are added to the problem.
Of the 34 principal components retained for analysis according to the 'bootstrapped' Kaiser-Guttman criterion, t-tests applied to the subject-condition expression coefficients showed significant mean differences between the object presentation and inter-stimulus phases in PC 1, 3, 26 and 32.
DAPC was run in the adegenet package (v1.4-1) [ 80] in R, with the first 50 principal components retained (capturing 80% of variation), along with all the discriminant functions.
(A ), polar plot representing the respective contribution of each of the 8 electrophysiological parameters to the two principal components retained from the PCA (PC1 and PC2).
A simple and popular stopping rule is based on the proportion of the total variance explained by the principal components retained in the model.
The number of principal components retained p was selected using parallel analysis (PA) with 1000 shuffles, which is essentially a permutation test that asks whether the N-th principal component explains more of the variance than the N-th principal component would in a permuted version of the same data [reviewed in reference Franklin et al. (1995)].
The Bayesian information criterion (BIC) [ 23], which trades off variance explained versus model complexity (number of principal components retained), can be used to determine objectively the number of these dimensions that capture most of the variance of the set of shapes.
