Deep Recursive Embedding for High-Dimensional Data.
Zixia ZhouXinrui ZuYuanyuan WangBoudewijn P. F. LelieveldtQian TaoPublished in: IEEE Trans. Vis. Comput. Graph. (2022)
Keyphrases
- high dimensional data
- nonlinear dimensionality reduction
- low dimensional structure
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensionality
- subspace clustering
- high dimensional
- data distribution
- data sets
- manifold learning
- data points
- data analysis
- high dimensions
- laplacian eigenmaps
- similarity search
- original data
- vector space
- high dimensional spaces
- sparse representation
- dimension reduction
- input space
- locally linear embedding
- high dimensional datasets
- linear discriminant analysis
- clustering high dimensional data
- high dimensional data sets
- low dimensional manifolds
- latent space
- image processing
- lower dimensional
- image data
- learning algorithm
- feature extraction
- machine learning