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