Explore MATLAB source code curated for "变量筛选" with clean implementations, documentation, and examples.
A program integrating Genetic Algorithm with Partial Least Squares (PLS) for variable screening, designed to solve combinatorial optimization problems with excessive variables through intelligent feature selection and optimization techniques.
MATLAB-based implementation of Ant Colony-Optimized Partial Least Squares (AOC_PLS) algorithm for efficient variable selection in high-dimensional datasets.
Combining Genetic Algorithm and Partial Least Squares Regression for Enhanced Variable Selection
Ant Colony Optimization-Partial Least Squares Algorithm (ACO-PLS) for Feature Selection and Dimensionality Reduction
Ant Colony-Partial Least Squares Algorithm (ACO-PLS) - An intelligent hybrid approach combining ant colony optimization with partial least squares regression for high-dimensional feature selection.