CARE: Finding Local Linear Correlations in High Dimensional Data.
Xiang ZhangFeng PanWei WangPublished in: ICDE (2008)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- dimensionality reduction
- nearest neighbor
- data points
- data sets
- original data
- high dimensionality
- high dimensions
- subspace clustering
- dimension reduction
- data analysis
- manifold learning
- similarity search
- lower dimensional
- low rank
- dimensional data
- input space
- complex data
- high dimensional spaces
- sparse representation
- high dimensional datasets
- high dimensional data sets
- linear discriminant analysis
- data distribution
- input data
- variable selection
- small sample size
- clustering high dimensional data
- subspace learning
- principal component analysis
- feature space
- real world
- text data
- discriminant analysis