Supervised Dimensionality Reduction Methods via Recursive Regression.
Yun LiuRui ZhangFeiping NieXuelong LiChris DingPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- dimensionality reduction methods
- discriminant projection
- dimensionality reduction
- canonical correlation analysis
- discriminant analysis
- principal component analysis
- preprocessing step
- knn
- unsupervised learning
- data sets
- principal components analysis
- nonlinear dimensionality reduction
- distance measure
- partial least squares
- random projections
- feature selection
- supervised learning
- learning algorithm
- semi supervised
- manifold learning
- high dimensional
- feature set
- support vector
- nearest neighbor
- dimension reduction
- feature extraction
- clustering algorithm
- k nearest neighbor
- pattern recognition
- database