Generating hypotheses of trends in high-dimensional data skeletons.
Chandan K. ReddySnehal PokharkarTin Kam HoPublished in: IEEE VAST (2008)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- data sets
- low dimensional
- data points
- high dimensions
- high dimensional
- high dimensionality
- subspace clustering
- similarity search
- data distribution
- data analysis
- linear discriminant analysis
- original data
- dimension reduction
- variable selection
- manifold learning
- input space
- lower dimensional
- clustering high dimensional data
- high dimensional spaces
- input data
- nonlinear dimensionality reduction
- high dimensional datasets
- shape representation
- sparse representation
- shape analysis
- text data
- complex data
- small sample size
- image processing
- high dimensional feature spaces
- high dimensional data sets
- feature extraction
- locally linear embedding
- principal component analysis
- dimensional data
- subspace learning
- nearest neighbor search