Mingming Yang*, Junchuan Yang
Journal of New Media, Vol.3, No.1, pp. 19-27, 2021, DOI:10.32604/jnm.2021.018267
- 15 March 2021
Abstract Every day we receive a large amount of information through different
social media and software, and this data and information can be realized with the
advent of data mining methods. In the process of data mining, to solve some
high-dimensional problems, feature selection is carried out in limited training
samples, and effective features are selected. This paper focuses on two Relief
feature selection algorithms: Relief and ReliefF algorithm. The differences
between them and their respective applicable scopes are analyzed. Based on
Relief algorithm, the high weight feature subset is obtained, and the correlation
between features More >