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. 2020 Jun 1;27(7):1019–1027. doi: 10.1093/jamia/ocaa060

Figure 1.

Figure 1.

Data transformation A: (A) Kaplan-Meier survival curve, (B) MDS plot, and (C) t-SNE plot for 7 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 overall survival (OS) (P = .0164). Clusters separated by MDS along the first dimension reflect OS outcomes.