Assessing the Significance of Groups in High-Dimensional Data.
Geoffrey J. McLachlanPublished in: ICDM (2010)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- high dimensions
- low dimensional
- high dimensionality
- data sets
- subspace clustering
- data points
- data analysis
- similarity search
- dimensional data
- dimension reduction
- clustering high dimensional data
- input space
- original data
- data distribution
- sparse representation
- complex data
- manifold learning
- subspace learning
- high dimensional datasets
- text data
- lower dimensional
- nonlinear dimensionality reduction
- input data
- linear discriminant analysis
- high dimensional feature spaces
- high dimensional data sets
- high dimensional spaces
- variable selection
- cluster analysis
- image processing