Optimizations on unknown low-dimensional structures given by high-dimensional data.
Qili ChenJiuhe WangJunfei QiaoYi Ming ZouPublished in: Soft Comput. (2021)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- dimensionality reduction
- data points
- principal component analysis
- manifold learning
- high dimensions
- subspace clustering
- dimension reduction
- high dimensionality
- lower dimensional
- input space
- original data
- nonlinear dimensionality reduction
- data sets
- nearest neighbor
- feature space
- high dimensional datasets
- data distribution
- sparse representation
- similarity search
- data analysis
- pattern recognition
- dimensional data
- high dimensional spaces
- distance preserving
- linear discriminant analysis
- clustering high dimensional data
- locally linear embedding
- euclidean space
- latent space
- neural network
- database
- diffusion maps
- image processing
- low dimensional structure