Selecting good views of high-dimensional data using class consistency.
Mike SipsBoris NeubertJohn P. LewisPat HanrahanPublished in: Comput. Graph. Forum (2009)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- high dimensionality
- data points
- data analysis
- data sets
- high dimensions
- manifold learning
- subspace clustering
- similarity search
- dimension reduction
- clustering high dimensional data
- original data
- data distribution
- input data
- subspace learning
- high dimensional spaces
- high dimensional data sets
- linear discriminant analysis
- sparse representation
- input space
- high dimensional datasets
- small sample size
- text data
- dimensional data
- image data
- database systems
- nonlinear dimensionality reduction
- neural network