Fig. 2: Summary of functional outcomes clusters for Dataset I and Dataset II. | Schizophrenia

Fig. 2: Summary of functional outcomes clusters for Dataset I and Dataset II.

From: Functional phenotypes in schizophrenia spectrum disorders: defining the constructs and identifying biopsychosocial correlates using data-driven methods

Fig. 2

Subplots A.I and A.II depict the frequency of NbClust provided indices that recommended a certain cluster size for each dataset. Subplots B.I and B.II show the hierarchical clusters produced by the Ward algorithm (applying a Euclidean distance as a distance metric). Subplots C.I and C.II compare the functional phenotype clusters based on the functional components resulting from the PCA. Higher component scores reflect better functioning in that domain. Pairwise comparisons (\(t\)-tests) were used to evaluate statistical significance (Bonferroni–Holm-corrected52: ns not significant, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

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