REDUS: finding reducible subspaces in high dimensional data.
Xiang ZhangFeng PanWei WangPublished in: CIKM (2008)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- high dimensions
- dimension reduction
- similarity search
- subspace clustering
- data points
- data analysis
- original data
- data sets
- low rank
- lower dimensional
- input space
- high dimensional data sets
- sparse representation
- linear discriminant analysis
- data distribution
- manifold learning
- input data
- multi dimensional
- pattern recognition
- subspace learning
- high dimensional spaces
- high dimensional datasets
- learning algorithm
- neural network
- clustering method
- knn
- feature space
- locally linear embedding
- small sample size