Do Subsampled Newton Methods Work for High-Dimensional Data?
Xiang LiShusen WangZhihua ZhangPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensions
- high dimensional
- data sets
- high dimensionality
- data analysis
- subspace clustering
- data points
- nonlinear dimensionality reduction
- high dimensional spaces
- manifold learning
- lower dimensional
- high dimensional data sets
- dimension reduction
- linear discriminant analysis
- input space
- complex data
- variable selection
- text data
- original data
- sparse representation
- similarity search
- clustering high dimensional data
- high dimensional datasets
- small sample size
- input data
- data distribution
- dimensional data