Feature Selection (reduction) in data-mining using the Genetic Algorithm to get the highest accuracy in classification.
In this project, 4 classifiers can be used: Naive Bayes, k-Nearest Neighbors, Decision Tree, and MLP neural Network. You can also replace your own classifier our your own dataset.
인용 양식
Majid Farzaneh (2026). Feature Selection in Classification using Genetic Algorithm (https://kr.mathworks.com/matlabcentral/fileexchange/74105-feature-selection-in-classification-using-genetic-algorithm), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R2019b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
Help Center 및 MATLAB Answers에서 Pattern Recognition에 대해 자세히 알아보기
태그
| 버전 | 게시됨 | 릴리스 정보 | |
|---|---|---|---|
| 1.0.0 |
