Recent Advances in Supervised Dimension Reduction: A Survey.
Guoqing ChaoYuan LuoWeiping DingPublished in: Mach. Learn. Knowl. Extr. (2019)
Keyphrases
- recent advances
- dimension reduction
- unsupervised learning
- feature selection
- principal component analysis
- high dimensional
- singular value decomposition
- supervised learning
- high dimensional problems
- feature extraction
- manifold learning
- semi supervised
- low dimensional
- high dimensional data
- researchers and practitioners
- cluster analysis
- linear discriminant analysis
- high dimensionality
- random projections
- high dimensional data analysis
- preprocessing
- dimensionality reduction
- learning algorithm
- dimension reduction methods
- discriminative information
- training data
- neural network
- discriminant analysis
- feature space
- association rules
- support vector
- object recognition
- face recognition
- image processing
- preprocessing step
- image reconstruction
- machine learning
- qr decomposition
- nearest neighbor