earthat / Optimal-Feature-selection-for-KNN-classifierLinks
This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN
☆13Updated 6 years ago
Alternatives and similar repositories for Optimal-Feature-selection-for-KNN-classifier
Users that are interested in Optimal-Feature-selection-for-KNN-classifier are comparing it to the libraries listed below
Sorting:
- This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to i…☆181Updated 4 years ago
- Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.☆35Updated 4 years ago
- Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Lin…☆19Updated 4 years ago
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆28Updated 4 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆23Updated 4 years ago
- Hybrid Particle Swarm and Grey Wolf Optimizer☆22Updated 3 years ago
- 使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm☆38Updated 3 years ago
- The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.☆11Updated 4 years ago
- 模糊C均值聚类算法(Fuzzy C-Means , FCM)matlab实现☆12Updated 3 years ago
- Particle Swarm Optimisation for Feature Selection☆18Updated 6 years ago
- breast cancer feature selection using binary particle swarm optimization☆20Updated 5 years ago
- Feature Selection and Extraction☆19Updated 10 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆29Updated 8 years ago
- N. Singh and S. Singh, "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance", J…☆25Updated 4 years ago
- Code of the paper:A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 2…☆39Updated last year
- ☆11Updated 7 years ago
- All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should b…☆101Updated 5 years ago
- This script implements the hybrid of PSO and GWO optimization algorithm.☆100Updated 2 years ago
- Different meta-heuristic optimization techniques for feature selection☆42Updated 5 years ago
- Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' h…☆63Updated 11 months ago
- This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such a…☆32Updated 4 years ago
- Multi-Objective PSO (MOPSO) in MATLAB☆36Updated 4 years ago
- Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python☆89Updated 5 months ago
- This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to i…☆281Updated 2 years ago
- Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.☆96Updated 4 months ago
- Include BP / GA_SVM / GS_SVM / KNN / LDA / PCA / PSO_SVM☆29Updated 3 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆17Updated 6 years ago
- 肖子雅, 刘升. 精英反向黄金正弦鲸鱼算法及其工程优化研究[J]. 电子学报, 2019, 47(10): 2177-2186.☆23Updated 4 years ago
- Particle Swarm Optimization Least-squares support-vector machine without any machine learning libraries☆10Updated 5 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆42Updated 2 years ago