Random Subspace Method for high-dimensional regression with the R package regRSM.
Pawel TeisseyreRobert A. KlopotekJan MielniczukPublished in: Comput. Stat. (2016)
Keyphrases
- subspace methods
- high dimensional
- lower dimensional
- face recognition
- linear discriminant analysis
- similarity search
- low dimensional
- nearest neighbor
- dimensionality reduction
- ensemble methods
- dimension reduction
- high dimensionality
- regression problems
- high dimensional data
- data points
- principal component analysis
- feature space
- face databases
- higher dimensional
- support vector
- linear subspace
- data sets
- high dimensional feature space
- input space
- benchmark datasets
- machine learning algorithms
- non stationary
- image processing