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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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| 出版年: | Philos Trans A Math Phys Eng Sci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society Publishing
2017
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| 主題: | |
| オンライン･アクセス: | 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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