clusterBMA: Bayesian model averaging for clustering

Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one ‘best’ model out of several candidate clustering models generally ignores the uncertainty that a...

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Detalles Bibliográficos
Autores principales: Forbes, Owen, Santos-Fernandez, Edgar, Wu, Paul Pao-Yen, Xie, Hong-Bo, Schwenn, Paul E., Lagopoulos, Jim, Mills, Lia, Sacks, Dashiell D., Hermens, Daniel F., Mengersen, Kerrie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441802/
https://www.ncbi.nlm.nih.gov/pubmed/37603575
http://dx.doi.org/10.1371/journal.pone.0288000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441802/
https://www.ncbi.nlm.nih.gov/pubmed/37603575
http://dx.doi.org/10.1371/journal.pone.0288000

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