Filter-Based Feature Selection Techniques in Machine Learning
Filter-based feature selection evaluates features prior to model training using statistical metrics or dependency measures between features and the target variable. It ranks features by relevance and selects a subset expected to improve generalization and reduce overfitting.
Workflow
Data Acquisition — Gather a dataset containing feature colum ...
Posted on Mon, 15 Jun 2026 17:41:18 +0000 by linuxdoniv
Implementing mRMR Feature Selection in MATLAB
Core Implementation Framework
1. Data Preprocessing Module
% Data standardization (Z-score)
function normalized_data = standardize_features(input_data)
mean_vals = mean(input_data, 1);
std_devs = std(input_data, 0, 1);
normalized_data = (input_data - mean_vals) ./ std_devs;
end
% Discretization process (for continuous features)
fun ...
Posted on Tue, 19 May 2026 15:21:56 +0000 by danieliser