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Clustering: how much bias do we need?
Scientific investigations in medicine and beyond increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projections destroys essential relationships in the data. Similarly, traditional clustering algorithms intr...
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| Publicado no: | Philos Trans A Math Phys Eng Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5434083/ https://ncbi.nlm.nih.gov/pubmed/28507238 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2016.0293 |
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