Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data.
Ursula LaaDianne CookStuart LeePublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- high dimensionality
- nearest neighbor
- high dimensional
- high dimensions
- low dimensional
- data sets
- subspace clustering
- similarity search
- manifold learning
- original data
- input space
- linear discriminant analysis
- data points
- complex data
- data distribution
- dimension reduction
- clustering high dimensional data
- high dimensional datasets
- high dimensional spaces
- sparse representation
- subspace learning
- input data
- high dimensional data sets
- learning algorithm
- lower dimensional
- database
- small sample size
- data mining
- feature extraction
- text data
- data structure
- pattern recognition
- semi supervised
- principal component analysis
- text mining