Cargando…
Overlapping community detection in networks based on link partitioning and partitioning around medoids
In this paper, we present a new method for detecting overlapping communities in networks with a predefined number of clusters called LPAM (Link Partitioning Around Medoids). The overlapping communities in the graph are obtained by detecting the disjoint communities in the associated line graph emplo...
Autores principales: | Ponomarenko, Alexander, Pitsoulis, Leonidas, Shamshetdinov, Marat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386890/ https://www.ncbi.nlm.nih.gov/pubmed/34432789 http://dx.doi.org/10.1371/journal.pone.0255717 |
Ejemplares similares
-
A New Clustering Method for Knee Movement Impairments using Partitioning Around Medoids Model
por: Reza Farazdaghi, Mohammad, et al.
Publicado: (2020) -
Clustering Undergraduate Students Based on Academic Burnout and Satisfaction from the Field Using Partitioning around Medoid
por: Sanjari, Elaheh, et al.
Publicado: (2023) -
Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data sets
por: Domingo, Juan, et al.
Publicado: (2023) -
A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare
por: Mushtaq, Hassan, et al.
Publicado: (2018) -
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models
por: D’Urso, Pierpaolo, et al.
Publicado: (2022)