Data visualization and dimension reduction for metric-valued response regression.
Abdul-Nasah SoaleYuexiao DongPublished in: CoRR (2023)
Keyphrases
- databases
- data visualization
- dimension reduction
- partial least squares
- knowledge discovery
- sparse metric learning
- data analysis
- principal component analysis
- feature extraction
- high dimensional
- visual data mining
- low dimensional
- singular value decomposition
- high dimensional data
- manifold learning
- information visualization
- feature selection
- linear discriminant analysis
- cluster analysis
- big data
- data mining
- parallel coordinates
- unsupervised learning
- high dimensionality
- model selection
- distance measure
- dimensionality reduction
- metric learning
- feature space
- nearest neighbor
- support vector
- database systems
- preprocessing
- image processing