In this article, we propose an unsupervised feature selection algorithm based on the recently developed shrinking and expansion algorithm (SEA). The SEA is already an established, efficient algorithm ...

Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection -- [Knowledge-Based Systems 22] ...

Feature selection based on genetic algorithm To construct more efficient discrimination models, GAs were performed 12 times on MATLAB (R2021a update 4, MathWorks, United States) to screen the ...

An efficient wrapper-based High-dimensional Feature Selection (SIFE) in MATLAB , and the related article: "Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature ...

This study showed that a genetic algorithm is capable of searching a large feature space and that systematic feature selection shows promising results for lower limb myoelectric control.

Feature selection is an important part of contemporary QSAR analysis. In a recently published paper, we investigated the performance of different feature selection methods in a large number of in ...

This study was mainly about genetic algorithms of feature selection. The features adopted by this paper include CCM and DBPSP for the relationship between color and texture, CHKM for the color ...