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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...

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Bibliografiske detaljer
Principais autores: Owen Forbes, Edgar Santos-Fernandez, Paul Pao-Yen Wu, Hong-Bo Xie, Paul E. Schwenn, Jim Lagopoulos, Lia Mills, Dashiell D. Sacks, Daniel F. Hermens, Kerrie Mengersen
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science (PLoS) 2023-01-01
Serier:PLoS ONE
Online adgang:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441802/?tool=EBI
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