Graphical pipeline describing the analysis of data extracted from public available datasets.

https://doi.org/10.1371/journal.pone.0319031.g005
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posted on 2025-06-05, 20:07 authored by Andrea Ranieri, Floriana Pichiorri, Emma Colamarino, Febo Cincotti, Donatella Mattia, Jlenia Toppi

<p>Steps are sequential from left to right: data representation in the feature space, network embedding through a diffusion kernel based on the Euclidean distance, extraction of the Fiedler vector with the corresponding minimum-cut partition and classification performances comparing the ground truth with the label of the Fiedler vector.</p>

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