Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization.
Jingyu ZhongRonghua ShangSonghua XuYangyang LiPublished in: Pattern Recognit. (2024)
Keyphrases
- graph embedding
- particle swarm optimization
- feature selection
- dimensionality reduction
- class separability
- low dimensional
- discriminant analysis
- data representation
- semi supervised
- discriminant embedding
- high dimensional
- classification accuracy
- feature extraction
- feature set
- feature space
- high dimensional data
- unsupervised learning
- subspace learning
- feature representation
- dictionary learning
- neural network
- multi objective
- machine learning
- label information
- learning algorithm
- data sets
- text classification
- principal component analysis
- support vector machine
- pattern recognition
- support vector
- similarity measure
- computer vision