Explore MATLAB source code curated for "顺序后退法" with clean implementations, documentation, and examples.
Self-developed feature selection programs including Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Plus-l Minus-r (l-r) method, and Sequential Floating Forward Selection (SFFS) algorithms with cross-validation and visualization capabilities
Feature selection methods with MATLAB implementations including l-add r-remove algorithm, Sequential Floating Forward Selection (SFFS), sequential backward selection, and sequential forward selection with code implementation details
1. Sequential Backward Elimination Feature Selection Algorithm, 2. Sequential Floating Forward Selection (SFFS) Algorithm, 3. Information Significance Detection (ISD) Algorithm, 4. Log-Likelihood Ratio (LLR) Algorithm, 5. Chi-Square Zhang Detection (CZD) Algorithm