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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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| Veröffentlicht in: | Philos Trans A Math Phys Eng Sci |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The Royal Society Publishing
2017
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| Schlagworte: | |
| Online Zugang: | 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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