A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification.
Lixia BaiHong LiWeifeng GaoJin XieHouqiang WangPublished in: Inf. Sci. (2023)
Keyphrases
- high dimensional data
- multiobjective optimization
- high dimensionality
- high dimensional
- feature selection and classifier
- low dimensional
- multi objective
- dimension reduction
- dimensionality reduction
- nearest neighbor
- min max
- data points
- data sets
- subspace clustering
- feature selection
- decision trees
- support vector machine
- feature vectors
- unsupervised learning
- high dimensional datasets
- text classification
- data analysis
- clustering high dimensional data
- genetic algorithm
- k nearest neighbor
- manifold learning
- swarm intelligence
- training data
- input data
- upper bound
- support vector
- feature space