Quantum Embedding with Transformer for High-dimensional Data.
Hao-Yuan ChenYen-Jui ChangShih-Wei LiaoChing-Ray ChangPublished in: CoRR (2024)
Keyphrases
- high dimensional data
- nonlinear dimensionality reduction
- low dimensional structure
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- manifold learning
- high dimensionality
- high dimensions
- data sets
- data points
- laplacian eigenmaps
- subspace clustering
- similarity search
- original data
- data analysis
- latent space
- dimension reduction
- linear discriminant analysis
- dimensional data
- low dimensional manifolds
- high dimensional data sets
- vector space
- high dimensional datasets
- high dimensional spaces
- lower dimensional
- small sample size
- data distribution
- sparse representation
- binary codes
- text data
- input space
- neural network
- clustering high dimensional data
- locally linear embedding
- real world
- database