3ConFA: A Robust Feature Aggregation Framework for High-dimensional Data Optimization
Clive Asuai, Akazue Maureen, Abel Edje, Mayor Andrew, Peace Oguoguo Ezzeh, Houssem Hosni & Ibrahim Khan · Asian Journal of Research in Computer Science · 2025
High-dimensional datasets pose significant challenges in machine learning, including overfitting, increased computational complexity, and reduced model interpretability. In response to these challenges, this paper introduces the Three Conditions for Feature Aggregation (3ConFA) f...
Open access
Research Article
10.9734/ajrcos/2025/v18i6695