The algorithm's efficient polynomial complexity allows it to scale with system size, which is essential as quantum computers become more powerful.

Feature selection is a process to reduce the dimension of a dataset by removing redundant features, and to use the optimal subset of features for machine learning or data mining algorithms. This helps ...

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 ...

The second approach, interaction-based feature selection, also drastically reduces the feature space–in this case, by leveraging contextual information obtained via data mining, allowing for the ...

Matlab code for the Information Fusion 2024 paper "Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data".