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A nature inspired modularity function for unsupervised learning involving spatially embedded networks
The quality of network clustering is often measured in terms of a commonly used metric known as “modularity”. Modularity compares the clusters found in a network to those present in a random graph (a “null model”). Unfortunately, modularity is somewhat ill suited for studying spatially embedded netw...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385190/ https://www.ncbi.nlm.nih.gov/pubmed/30796343 http://dx.doi.org/10.1038/s41598-019-39180-8 |