Figure 1
From: Brain imaging signatures of neuropathic facial pain derived by artificial intelligence

Unsupervised learning and data visualization using t-SNEÂ (A) and PCA (B) demonstrates the separation of healthy individuals (green) from chronic facial pain subjects (red and pink). The t-SNE axes on the plot are arbitrary. PC1 axis represents all variables of the dataset in one dimension. T-SNE t-distributed stochastic neighbour embedding, PCA principal component analysis, PC1 Principal components axis 1.