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Detection of Significant Groups in Hierarchical Clustering by Resampling
Hierarchical clustering is a simple and reproducible technique to rearrange data of multiple variables and sample units and visualize possible groups in the data. Despite the name, hierarchical clustering does not provide clusters automatically, and “tree-cutting” procedures are often used to identi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976109/ https://www.ncbi.nlm.nih.gov/pubmed/27551289 http://dx.doi.org/10.3389/fgene.2016.00144 |