Fig. 2: Clustering Effect of Lee-2 Model. | Nature Communications

Fig. 2: Clustering Effect of Lee-2 Model.

From: Unbiased clustering of acute-on-chronic liver failure patients using machine learning in a real-world ICU cohort

Fig. 2: Clustering Effect of Lee-2 Model.

a Mixed Coefficient Matrix. Each column represents a patient, and each row represents the probability of cluster membership, with darker colors indicating higher probabilities. b Basis Matrix. Each row represents a feature. The darker the color, the greater the weight of the feature in the cluster. c Consistency Matrix. The clearer the boundaries, the better the clustering stability. Source data are provided as a Source Data file.

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