Partial multi-label feature selection via low-rank and sparse factorization with manifold learning.
Zhenzhen SunZexiang ChenJinghua LiuYewang ChenYuanlong YuPublished in: Knowl. Based Syst. (2024)
Keyphrases
- manifold learning
- multi label
- text categorization
- feature selection
- dimensionality reduction
- dimension reduction
- text classification
- feature extraction
- low rank
- semi supervised
- image classification
- low dimensional
- high dimensional
- high dimensional data
- singular value decomposition
- feature space
- graph cuts
- high dimensionality
- unlabeled data
- knn
- unsupervised learning
- machine learning
- feature set
- matrix factorization
- semi supervised learning
- labeled data
- k nearest neighbor
- sparse representation
- support vector
- class labels
- pattern recognition
- multi class
- pairwise
- transfer learning
- image processing
- data sets
- model selection
- principal component analysis