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k-Nearest Neighbor Classification Algorithm Based on Hubness and Class Weighting
Aiming at the problem of dimensionality curse and unbalance distribution in high dimensional unbalance data,an improved k-Nearest Neighbor(kNN) classification algorithm named HWNN is proposed.The k-occur of samples are regarded as the support for each class at the time of prediction,on this way,the...
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| 主要作者: | |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Editorial Office of Computer Engineering
2018-04-01
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| 叢編: | Jisuanji gongcheng |
| 主題: | |
| 在線閱讀: | https://www.ecice06.com/fileup/1000-3428/PDF/201804040.pdf |
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