Adaptive, Hybrid Feature Selection (AHFS)

This paper deals with the problem of integrating most suitable feature selection methods for a given in order to achieve best order. A new, adaptive and hybrid approach is proposed, which combines utilizes multiple individual more generalized solution. Various state-of-the-art are presented detail examples their applications an exhaustive evaluation conducted measure compare performance proposed approach. Results prove that while may perform high variety on test cases, combined algorithm steadily provides noticeably better