Feature Selection in Classification using Genetic Algorithm
Versión 1.0.0 (61,7 KB) por
Majid Farzaneh
Feature Selection (reduction) in data-mining using Genetic Algorithm
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.
Citar como
Majid Farzaneh (2025). Feature Selection in Classification using Genetic Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/74105-feature-selection-in-classification-using-genetic-algorithm), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2019b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
Más información sobre Pattern Recognition and Classification en Help Center y MATLAB Answers.
Etiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.0 |