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densityCut: an efficient and versatile topological approach for automatic clustering of biological data
Motivation: Many biological data processing problems can be formalized as clustering problems to partition data points into sensible and biologically interpretable groups. Results: This article introduces densityCut, a novel density-based clustering algorithm, which is both time- and space-efficient...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013902/ https://www.ncbi.nlm.nih.gov/pubmed/27153661 http://dx.doi.org/10.1093/bioinformatics/btw227 |