Facilitate the Parametric Dimension Reduction by Gradient Clipping.
Chien-Hsun LaiYu-Shuen WangPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- manifold learning
- singular value decomposition
- low dimensional
- high dimensional data
- high dimensional problems
- data mining and machine learning
- feature selection
- high dimensional
- variable selection
- dimensionality reduction
- random projections
- cluster analysis
- linear discriminant analysis
- unsupervised learning
- high dimensional data analysis
- high dimensionality
- discriminative information
- feature space
- data sets
- dimension reduction methods
- preprocessing
- partial least squares
- sparse metric learning
- discriminant analysis
- semi supervised
- image data
- data analysis
- neural network