Stahel-Donoho estimation for high-dimensional data.
Stefan Van AelstPublished in: Int. J. Comput. Math. (2016)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- subspace clustering
- high dimensions
- data sets
- dimension reduction
- similarity search
- data analysis
- data points
- linear discriminant analysis
- original data
- clustering high dimensional data
- low rank
- manifold learning
- data distribution
- complex data
- small sample size
- text data
- learning algorithm
- lower dimensional
- high dimensional spaces
- sparse representation
- high dimensional data sets
- variable selection
- high dimensional datasets
- data mining
- dimensional data
- computer vision
- feature selection
- input space
- semi supervised