Automatic Unsupervised Feature Selection using Gravitational Search Algorithm

摘要

Feature selection is an optimization problem that selects the features that have minimum redundancy and maximum relevance to improve the efficiency of algorithms. In this paper, we have proposed a novel automatic unsupervised feature selection method based on gravitational search algorithm, called AFSGSA (automatic feature selection using gravitational search algorithm). In contrast to most of existing unsupervised feature selection techniques, the proposed AFSGSA requires no prior knowledge of