Evolving Insight into High-Dimensional Data.
Yiqing TuGang LiHonghua DaiPublished in: ICIC (1) (2005)
Keyphrases
- high dimensional data
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensional
- high dimensionality
- high dimensions
- data sets
- data points
- data analysis
- subspace clustering
- input space
- dimensional data
- data distribution
- high dimensional datasets
- dimension reduction
- clustering high dimensional data
- original data
- linear discriminant analysis
- manifold learning
- sparse representation
- similarity search
- pattern recognition
- lower dimensional
- high dimensional spaces
- database
- nonlinear dimensionality reduction
- input data
- small sample size
- support vector
- variable selection
- high dimensional feature spaces