Automated calibration of consensus weighted distance-based clustering approaches using sharp

MOTIVATION: In consensus clustering, a clustering algorithm is used in combination with a subsampling procedure to detect stable clusters. Previous studies on both simulated and real data suggest that consensus clustering outperforms native algorithms. RESULTS: We extend here consensus clustering to...

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Detalles Bibliográficos
Autores principales: Bodinier, Barbara, Vuckovic, Dragana, Rodrigues, Sabrina, Filippi, Sarah, Chiquet, Julien, Chadeau-Hyam, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627366/
https://www.ncbi.nlm.nih.gov/pubmed/37847776
http://dx.doi.org/10.1093/bioinformatics/btad635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627366/
https://www.ncbi.nlm.nih.gov/pubmed/37847776
http://dx.doi.org/10.1093/bioinformatics/btad635

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