Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.
Yue FangJilian ZhangShichao ZhangCong LeiXiaoyi HuPublished in: ADMA (2017)
Keyphrases
- manifold learning
- low rank
- semi supervised
- feature selection algorithms
- feature selection
- high dimensional data
- semi supervised learning
- dimensionality reduction
- supervised learning
- data sets
- labeled data
- subspace learning
- unsupervised learning
- kernel matrix
- pairwise
- active learning
- manifold structure
- feature set
- feature subset
- learning models
- singular value decomposition
- classification accuracy
- singular values
- neural network
- low dimensional
- feature extraction
- support vector
- high dimensionality
- svm classifier
- convex optimization
- k means
- dimension reduction
- learning algorithm
- machine learning
- genetic algorithm ga