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Machine-learned cluster identification in high-dimensional data
BACKGROUND: High-dimensional biomedical data are frequently clustered to identify subgroup structures pointing at distinct disease subtypes. It is crucial that the used cluster algorithm works correctly. However, by imposing a predefined shape on the clusters, classical algorithms occasionally sugge...
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| Publicado no: | J Biomed Inform |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5313598/ https://ncbi.nlm.nih.gov/pubmed/28040499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.12.011 |
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