Statistical power for cluster analysis

BACKGROUND: Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software. While guidelines exist for algorithm selection and outcome evaluation, there are no firml...

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Detalles Bibliográficos
Autores principales: Dalmaijer, Edwin S., Nord, Camilla L., Astle, Duncan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158113/
https://www.ncbi.nlm.nih.gov/pubmed/35641905
http://dx.doi.org/10.1186/s12859-022-04675-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158113/
https://www.ncbi.nlm.nih.gov/pubmed/35641905
http://dx.doi.org/10.1186/s12859-022-04675-1

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