HIGHLIGHTS
- who: Stephen Coleman from the University of Cambridge, Cambridge, UK have published the article: Consensus clustering for Bayesian mixture models, in the Journal: (JOURNAL)
- what: In simulation studies the authors show that the approach can successfully uncover the target clustering structure while also exploring different plausible clusterings of the data. The authors show that when a parallel computation environment is available the approach offers significant reductions in runtime compared to performing samplingbased Bayesian inference for the underlying model while retaining many of the practical benefits of the Bayesian approach such as exploring different numbers of . . .
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