Fig. 2: Principal components analysis (PCA) of the among-syndrome means.
From: Automated syndrome diagnosis by three-dimensional facial imaging
Each syndrome is represented by the average facial shape for that syndrome after regressing shape on polynomial age and sex. (a) Plots show the facial shape changes associated with each PC, scaled to 5 times the standard deviation of PC scores. (b) Heatmaps showing the regions of the face that vary most along each PC (red = larger, blue = smaller). (c) Vectormaps for syndromes that define the extremes of the PCA for the syndromic means. These are similar but not identical to the heatmaps in (b) because a syndromic mean can differ from the grand mean along multiple PCs. Both heatmaps and vectormaps are based on the distances between average meshes, registered in Procrustes space.
