Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data.
Tongyi LiangHan-Xiong LiPublished in: CoRR (2024)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- similarity search
- high dimensional spaces
- learning algorithm
- subspace clustering
- manifold learning
- dimension reduction
- high dimensionality
- linear discriminant analysis
- real world
- input space
- nearest neighbor
- data analysis
- sparse representation
- data points
- moving objects
- pattern recognition
- machine learning
- high dimensions
- clustering high dimensional data