Reducing Class Overlapping in Supervised Dimension Reduction.
Nguyen Trong TungVu Hoang DieuKhoat ThanNgo Van LinhPublished in: SoICT (2018)
Keyphrases
- dimension reduction
- unsupervised learning
- feature selection
- principal component analysis
- high dimensional
- linear discriminant analysis
- low dimensional
- data mining and machine learning
- supervised dimensionality reduction
- feature extraction
- high dimensional data
- high dimensional problems
- scatter matrices
- learning algorithm
- high dimensionality
- singular value decomposition
- partial least squares
- feature space
- variable selection
- random projections
- semi supervised
- manifold learning
- discriminative information
- cluster analysis
- dimensionality reduction
- preprocessing
- image processing
- null space
- generative topographic mapping
- sparse metric learning