Autoweighted Multiview Feature Selection With Graph Optimization.
Qi WangXu JiangMulin ChenXuelong LiPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- feature selection
- graph classification
- parameter optimization
- graph representation
- optimization algorithm
- text categorization
- optimization process
- graph structure
- classification accuracy
- optimization problems
- multi view
- machine learning
- graph theory
- microarray data
- graph model
- graph theoretic
- feature extraction
- random walk
- unsupervised learning
- text classification
- mutual information
- feature set
- graph mining
- global optimization
- feature space
- information gain
- graph databases
- constrained optimization
- data sets
- sparse pca
- weighted graph
- classification models
- high dimensionality
- directed graph
- connected components
- optimization method
- structured data
- model selection
- dimensionality reduction
- multi class
- multi objective