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Data transformation B: (A) Kaplan-Meier survival curve, (B) MDS plot, and (C) t-SNE plot for 6 unsupervised clusters of CLL patients. Unsupervised machine learning, using k-means clustering with Partitioning Around Medoids (PAM) and the Sokal&Michener distance yields 7 clinical phenotypes with significant differences in time-to-progression (TTP) (P = .0451). (Supplementary Figure 1) Clusters separated by MDS along the first dimension reflect order of overall survival (OS) outcomes.
