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...

Full description

Bibliographic Details

Published in:	Tạp chí Khoa học
Main Author:	Phan Anh Phong, Le Van Thanh
Format:	Article
Language:	English
Published:	Trường Đại học Vinh 2024-09-01
Subjects:	data classification imbalanced data oversampling k-means smote
Online Access:	https://vujs.vn//api/view.aspx?cid=02ecfdc3-b816-4a0d-b2ae-30515a12ccbd