This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
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Updated
Mar 4, 2021 - MATLAB
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
GNU Octave library for connectivity analysis in large fMRI datasets
A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Feature Selection by Optimized LASSO algorithm
The commands about Data mining, which are all of the commands do you need to do the data mining.
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
Data Mining subject projects
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
Research: This repository contains Matlab code for classify Electroencephalography (EEG) Eye state (Open or closed) applying Machine Learning.
Machine Learning
Gaussian mixture model for early detection of pattern changes in data streams
Application of principal component analysis (PCA) for feature reduction.
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