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...
Сохранить в:
| Главный автор: | |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Editorial Office of Computer Engineering
2018-04-01
|
| Серии: | Jisuanji gongcheng |
| Предметы: | |
| Online-ссылка: | https://www.ecice06.com/fileup/1000-3428/PDF/201804040.pdf |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|