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Bayesian Distance Clustering

Model-based clustering is widely used in a variety of application areas. However, fundamental concerns remain about robustness. In particular, results can be sensitive to the choice of kernel representing the within-cluster data density. Leveraging on properties of pairwise differences between data...

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Detalles Bibliográficos
Autores principales: Duan, Leo L, Dunson, David B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245927/
https://www.ncbi.nlm.nih.gov/pubmed/35782785