Parametric Dimension Reduction by Preserving Local Structure.
Chien-Hsun LaiMing Feng KuoYun-Hsuan LienKuan-An SuYu-Shuen WangPublished in: IEEE VIS (Short Papers) (2022)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- low dimensional
- variable selection
- high dimensional problems
- data mining and machine learning
- feature extraction
- high dimensional data
- linear discriminant analysis
- feature space
- partial least squares
- discriminative information
- random projections
- singular value decomposition
- manifold learning
- dimensionality reduction
- unsupervised learning
- supervised learning
- preprocessing
- feature selection
- database
- high dimensionality
- image data
- pattern recognition
- image processing
- computer vision
- machine learning
- data mining