Deep Recursive Embedding for High-Dimensional Data.
Zixia ZhouYuanyuan WangBoudewijn P. F. LelieveldtQian TaoPublished in: CoRR (2021)
Keyphrases
- high dimensional data
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- nearest neighbor
- low dimensional structure
- high dimensional
- data sets
- similarity search
- data points
- high dimensionality
- high dimensions
- data analysis
- subspace clustering
- manifold learning
- vector space
- laplacian eigenmaps
- data distribution
- dimension reduction
- sparse representation
- original data
- linear discriminant analysis
- latent space
- high dimensional spaces
- dimensional data
- input data
- high dimensional datasets
- input space
- text data
- high dimensional data sets
- similarity measure
- clustering high dimensional data
- database
- subspace learning
- lower dimensional
- locally linear embedding
- euclidean space
- small sample size
- low dimensional manifolds