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A robustness metric for biological data clustering algorithms
BACKGROUND: Cluster analysis is a core task in modern data-centric computation. Algorithmic choice is driven by factors such as data size and heterogeneity, the similarity measures employed, and the type of clusters sought. Familiarity and mere preference often play a significant role as well. Compa...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929270/ https://ncbi.nlm.nih.gov/pubmed/31874625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3089-6 |
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