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Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method
This paper proposes a meaningful and effective extension of the celebrated K-means algorithm to detect communities in feature-rich networks, due to our assumption of non-summability mode. We least-squares approximate given matrices of inter-node links and feature values, leading to a straightforward...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142054/ https://www.ncbi.nlm.nih.gov/pubmed/35626512 http://dx.doi.org/10.3390/e24050626 |