Discover the semantic topology in high-dimensional data.
I-Jen ChiangPublished in: Expert Syst. Appl. (2007)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- data points
- high dimensional
- high dimensionality
- high dimensions
- data analysis
- data sets
- subspace clustering
- dimension reduction
- similarity search
- dimensional data
- data distribution
- linear discriminant analysis
- original data
- complex data
- clustering high dimensional data
- manifold learning
- input space
- text data
- high dimensional spaces
- high dimensional datasets
- lower dimensional
- input data
- small sample size
- high dimensional data sets
- sparse representation
- locally linear embedding
- nonlinear dimensionality reduction
- subspace learning
- feature selection
- real world