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Robust Distance Measures for kNN Classification of Cancer Data
The k-Nearest Neighbor (kNN) classifier represents a simple and very general approach to classification. Still, the performance of kNN classifiers can often compete with more complex machine-learning algorithms. The core of kNN depends on a “guilt by association” principle where classification is pe...
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| 出版年: | Cancer Inform |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7573750/ https://ncbi.nlm.nih.gov/pubmed/33116353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1176935120965542 |
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