DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago
- Online Streaming Feature Selection☆26Updated 2 months ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering☆14Updated 3 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆29Updated last year
- Feature Selection and Extraction☆19Updated 9 years ago
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 5 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 3 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 6 years ago
- MATLAB Implementation of SMOTE related algorithms☆30Updated 4 months ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆18Updated 9 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆20Updated 3 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 3 years ago
- Scikit-learn compatible Kernel Entropy Component Analysis in Python☆13Updated 8 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 6 years ago
- Tawhid, M.A., Ibrahim, A.M. Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. Int…☆15Updated 3 years ago
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 4 years ago
- Matlab codes for Semi-Supervised Shapelets Learning☆17Updated 7 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆21Updated 9 years ago
- Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.☆9Updated 5 years ago
- Genetic Algorithm Particle Swarm Optimization Implemented in Python☆14Updated 6 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆11Updated 4 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆16Updated 5 years ago
- The paper and implementation code of Locally Weighted Ensemble Clustering , IEEE TRANSACTIONS ON CYBERNETICS, VOL. 48, NO. 5, MAY 2018☆15Updated 5 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 7 years ago
- Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multi-Modal Multi-Objective Optimization (IEE…☆15Updated 3 years ago
- Python code to prune ensembles☆12Updated 2 years ago
- Model of three-way decision☆12Updated 4 years ago