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Shrinkage Clustering: a fast and size-constrained clustering algorithm for biomedical applications
BACKGROUND: Many common clustering algorithms require a two-step process that limits their efficiency. The algorithms need to be performed repetitively and need to be implemented together with a model selection criterion. These two steps are needed in order to determine both the number of clusters p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5782397/ https://www.ncbi.nlm.nih.gov/pubmed/29361928 http://dx.doi.org/10.1186/s12859-018-2022-8 |