PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data.
Matteo BarbieriSamuele FioriniFederico TomasiAnnalisa BarlaPublished in: PyHPC@SC (2016)
Keyphrases
- variable selection
- high dimensional data
- high dimensional
- dimension reduction
- high dimensional data analysis
- input variables
- dimensionality reduction
- subspace clustering
- cross validation
- high dimensionality
- low dimensional
- nearest neighbor
- data points
- data sets
- similarity search
- input space
- variable weighting
- data analysis
- linear discriminant analysis
- model selection
- pattern recognition
- high dimensional datasets
- manifold learning
- sparse representation
- low rank
- lower dimensional
- high dimensional spaces
- clustering high dimensional data
- feature selection
- database