Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance.
Ji ZhangHai H. WangPublished in: Knowl. Inf. Syst. (2006)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional spaces
- nearest neighbor
- high dimensional
- data sets
- subspace clustering
- high dimensionality
- high dimensions
- dimension reduction
- data analysis
- data points
- dimensional data
- original data
- lower dimensional
- high dimensional datasets
- input space
- low rank
- high dimensional data sets
- similarity search
- data distribution
- high dimensional feature spaces
- sparse representation
- manifold learning
- text data
- principal component analysis
- data structure
- clustering high dimensional data
- subspace learning
- r tree
- learning algorithm