Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data.
Tara Othman Qadir SarafNorfaiza FuadNik Shahidah Afifi Mohd TaujuddinPublished in: Comput. (2023)
Keyphrases
- high dimensional data
- variable length
- dimensionality reduction
- metaheuristic
- high dimensionality
- feature selection
- fixed length
- nearest neighbor
- optimization problems
- low dimensional
- high dimensional
- similarity search
- data analysis
- dimension reduction
- data sets
- data points
- manifold learning
- tabu search
- high dimensional spaces
- principal component analysis
- knn
- probabilistic model
- search space
- linear discriminant analysis
- feature space
- optimal solution
- feature extraction
- input space
- image processing
- subspace clustering
- genetic algorithm
- machine learning