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...
Gorde:
| Egile nagusia: | |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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Editorial Office of Computer Engineering
2018-04-01
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| Saila: | Jisuanji gongcheng |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.ecice06.com/fileup/1000-3428/PDF/201804040.pdf |
| Etiketak: |
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