Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network.
Shilong SunTengyi PengHaodong HuangPublished in: Sensors (2023)
Keyphrases
- high dimensional data
- dimensionality reduction
- feature extraction
- dimension reduction
- linear discriminant analysis
- low dimensional
- high dimensional
- manifold learning
- nearest neighbor
- high dimensionality
- subspace clustering
- data points
- data analysis
- similarity search
- input space
- data sets
- high dimensions
- principal component analysis
- high dimensional spaces
- lower dimensional
- clustering high dimensional data
- original data
- feature space
- data distribution
- text data
- face recognition
- sparse representation
- feature vectors
- dimensional data
- nonlinear dimensionality reduction
- discriminant analysis
- small sample size
- transfer learning
- high dimensional datasets
- feature selection
- real world