In search of the most efficient and memory-saving visualization of high dimensional data.
Bartosz MinchPublished in: CoRR (2023)
Keyphrases
- high dimensional data
- data analysis
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensional
- subspace clustering
- high dimensionality
- high dimensions
- data points
- dimension reduction
- original data
- similarity search
- data sets
- clustering high dimensional data
- manifold learning
- linear discriminant analysis
- lower dimensional
- input space
- indexing structure
- dimensional data
- high dimensional datasets
- high dimensional data sets
- data distribution
- input data
- pattern recognition
- high dimensional spaces
- database
- clustering method
- image data
- feature extraction