Two-dimensional embeddings of distances between transition networks as result of multi-dimensional scaling (MDS) applied to the distance matrix (Fig 7), where distances between single data points are preserved as good as possible while reducing dimensions.
<p>Data of two cichlid species, <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012425#pcbi.1012425.s004" target="_blank">S4</a>–<a href...
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2024
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| Summary: | <p>Data of two cichlid species, <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012425#pcbi.1012425.s004" target="_blank">S4</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012425#pcbi.1012425.s017" target="_blank">S17</a> Datasets), are compared pairwise with the Network Portrait Divergence applied as distance measure. The indices correspond to the first letters of the species, where the appended number allows the assignment to the same record in the dendrogram in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012425#pcbi.1012425.g009" target="_blank">Fig 9</a>. The four embeddings were created with the parameter n_init set to 400 (the number of times the algorithm runs) and with the starting states 0, 40, 65 and 77 from the top left to the bottom right corner.</p> |
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