IMPROVING PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION USING OVERSAMPLING AND CHARACTERISTICS OF EACH CLUSTER
This paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority oversampling technique VCIR to generate synthetic samples that closely represent the actual data characterist...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Trường Đại học Vinh
2024-09-01
|
| Edice: | Tạp chí Khoa học |
| Témata: | |
| On-line přístup: | https://vujs.vn//api/view.aspx?cid=02ecfdc3-b816-4a0d-b2ae-30515a12ccbd |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|