Modelling Interactions in High-dimensional Data with Backtracking.
Rajen Dinesh ShahPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensions
- high dimensional
- data sets
- data distribution
- subspace clustering
- data points
- data analysis
- high dimensionality
- manifold learning
- similarity search
- original data
- linear discriminant analysis
- dimension reduction
- sparse representation
- complex data
- dimensional data
- nonlinear dimensionality reduction
- high dimensional data sets
- variable selection
- lower dimensional
- clustering high dimensional data
- small sample size
- high dimensional feature spaces
- variable weighting
- high dimensional spaces
- text data
- input data
- neural network
- high dimensional datasets
- subspace learning
- decision trees
- feature selection