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. Author manuscript; available in PMC: 2021 Jan 1.
Published in final edited form as: Oncology. 2018 Nov 23;98(6):344–362. doi: 10.1159/000493575

Fig. 3.

Fig. 3.

Fig. 3.

(a) [Left] An illustration of an unsupervised learning using p-SNE with open image database Olivetti faces, where similar images (same person) are clustered automatically without providing any identity information. (b) [Right (reprint permission granted)] Dawson et al. [13] demonstrated that PCA can be used to observe clinical data structure. In this case the data describing the xerostomia occurrences due to parotid gland dose distributions is linearly separable.