… This work reviewed more than forty articles of feature selection and feature extraction that …
The remainder of the aim of this paper reviews is to review the latest literature related to feature …

… Therefore, this paper presents an extensive literature review on solving feature selection
problem using metaheuristic algorithms which are developed in the ten years (2009-2019). …

… In this part of our survey, we aimed to summarize the previous reviews of feature selection
in the last 30 years. More than 40 most-cited and recent surveys in the literature are listed …

… In this paper, a comparative analysis of different feature selection methods is presented, …
and the recent feature selection methods based on these algorithms are reviewed. Furthermore, …

… as the high classification accuracy when evaluating feature selection performance. In this …
an overview of feature selection techniques and instability of the feature selection algorithm. …

… ’s analysis, and the various models for the FS task. In Section 4, we have classified the FS
… In Section 5, we have discussed the most commonly used features in the FS task, the most …

… Although it seems to be a simple problem, however, in reality, it is not true. … challenges in
solving the feature selection problem. Some of the major issues of the feature selection problem …

… Feature Selection. To the best of our knowledge, this is the first comprehensive review in
Unsupervised Feature Selection … and recent feature selection methods in this field of research. …

… many machine learning tasks including classification [5], clustering [6,… feature selection to
classification problems, so the focus of this paper is to review feature selection for classification…

… feature selection problem is redefined in terms of predictive accuracy of an inductive algorithm:
to find the smallest set of M features … analysis shows that LVW can give a good solution, …