-Penalty Methods for High-dimensional Data with Some Applications in Genomics.
Peter BühlmannPublished in: GfKl (2005)
Keyphrases
- high dimensional data
- data sets
- high dimensional
- high dimensionality
- dimensionality reduction
- missing values
- data analysis
- subspace clustering
- low dimensional
- similarity search
- nearest neighbor
- data points
- high dimensions
- nonlinear dimensionality reduction
- input data
- gene expression data
- microarray data
- original data
- manifold learning
- variable selection
- high dimensional spaces
- small sample size
- clustering high dimensional data