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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...
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| Published in: | Bioinformatics |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5013902/ https://ncbi.nlm.nih.gov/pubmed/27153661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw227 |
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