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Feeds
Submitted
Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
5 years ago | 1631 downloads |
Submitted
Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
5 years ago | 1900 downloads |
Submitted
Wrapper Feature Selection Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc.
5 years ago | 1284 downloads |
Submitted
Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
5 years ago | 588 downloads |
Submitted
Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.
5 years ago | 497 downloads |
Submitted
Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
5 years ago | 432 downloads |
Submitted
Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.
5 years ago | 633 downloads |
Submitted
Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
5 years ago | 317 downloads |
Submitted
Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.
5 years ago | 258 downloads |
Submitted
Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
5 years ago | 800 downloads |
Submitted
Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.
5 years ago | 514 downloads |
Submitted
Filter Feature Selection Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
5 years ago | 1328 downloads |
Submitted
Deep Learning Toolbox
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.
5 years ago | 3381 downloads |
Submitted
Neural Network Toolbox
This toolbox contains 6 types of neural networks, which is simple and easy to implement.
5 years ago | 5017 downloads |
Submitted
Ant Colony System for Feature Selection
Application of ant colony system (ACS) for feature selection problems.
5 years ago | 743 downloads |
Submitted
Binary Differential Evolution for Feature Selection
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection...
5 years ago | 769 downloads |
Submitted
Binary Tree Growth Algorithm for Feature Selection
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
5 years ago | 298 downloads |
Submitted
Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.
5 years ago | 314 downloads |
Submitted
Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.
5 years ago | 2011 downloads |
Submitted
Binary Harris Hawk Optimization for Feature Selection
The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selec...
5 years ago | 605 downloads |
Submitted
Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
5 years ago | 1080 downloads |
Submitted
Binary Atom Search Optimization for Feature Selection
A new feature selection algorithm, named as Binary Atom Search Optimization (BASO) is applied for feature selection tasks.
5 years ago | 335 downloads |
Submitted
Machine Learning Toolbox
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement...
5 years ago | 6036 downloads |
Submitted
EMG Feature Extraction Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals app...
5 years ago | 4619 downloads |
Submitted
EEG Feature Extraction Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) application...
5 years ago | 3042 downloads |
Can anyone tell me how to solve this error?
Why don't you try on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithms-...
6 years ago | 0
Eyes closed and Open EEG data predict?
Let say you have 10 participants, and 38 channels. You extract one feature (alpha power) from each participant. Then your featur...
6 years ago | 1
what can I do to implement the features like Mean Absolute Value and variance using their given definition per channel or formula for a given signal in order to generate a feature vector?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71514-emg-feature-extraction-toolbox?s_...
6 years ago | 0
Eyes closed and Open EEG data predict?
You may follow these step (1) Extract the features from the EEG signals (for both eye closed and open) (2) You may perform the...
6 years ago | 0
| accepted
How to use ReliefF algorithm for a dataset?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-a...
6 years ago | 0
