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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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