Gene Classification on DNA Microarrays Using RFE-SVM Algorithm
Feature selection is performed using the t-test method, followed by classification with the Recursive Feature Elimination-Support Vector Machine (RFE-SVM) algorithm
Explore MATLAB source code curated for "特征选取" with clean implementations, documentation, and examples.
Feature selection is performed using the t-test method, followed by classification with the Recursive Feature Elimination-Support Vector Machine (RFE-SVM) algorithm
This implementation of Francis R. Bach's Bolasso algorithm provides robust feature selection and predictive modeling capabilities for high-dimensional problems. The algorithm leverages bootstrap sampling with regularization regression techniques, utilizing Karl Skoglund's lars (least angle regression) implementation for efficient coefficient path computation and feature ranking.