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Fig. 6 | BMC Bioinformatics

Fig. 6

From: An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

Fig. 6

Clustering after PCA analyses. Distribution of patients within each cluster for Principal Components 1-8, 10-15. X-axis represents the number of clusters, while in the Y-axis we show the number of patients assigned to each cluster. The different colors of the bars indicate the clinical PPA diagnosis for each patient within the cluster (1 nonfluent/agrammatic (dark blue), 2 semantic (light blue), 3 logopenic (green)) and healthy controls (yellow). Clustering results for 4 and 8 clusters are drawn Fig. 6 in (a,b), and (c,d), respectively

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