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Element-centric clustering comparison unifies overlaps and hierarchy

Clustering is one of the most universal approaches for understanding complex data. A pivotal aspect of clustering analysis is quantitatively comparing clusterings; clustering comparison is the basis for many tasks such as clustering evaluation, consensus clustering, and tracking the temporal evoluti...

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Detalles Bibliográficos
Autores principales: Gates, Alexander J., Wood, Ian B., Hetrick, William P., Ahn, Yong-Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561975/
https://www.ncbi.nlm.nih.gov/pubmed/31189888
http://dx.doi.org/10.1038/s41598-019-44892-y

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