Figure 15 | Scientific Reports

Figure 15

From: Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers

Figure 15

Left panel: Distributions of the GC coefficient for values of \(k\in (5,10,20,30)\). For all values of \(k\), also the global clustering coefficient seems able to discriminate among the various classes. In particular, systematically, AF patients share lower clustering while CD patients share higher values of clustering. Right panel: Distributions of the GR for values of \(k\in (5,10,20,30)\). While the larger \(k\) the more pronounced the overlap between H and CD patients, yet classification of AF patients seems robust.

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