Do Subsampled Newton Methods Work for High-Dimensional Data?
Xiang LiShusen WangZhihua ZhangPublished in: AAAI (2020)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensionality
- data sets
- low dimensional
- high dimensions
- data points
- subspace clustering
- data analysis
- data distribution
- dimension reduction
- original data
- dimensional data
- high dimensional spaces
- complex data
- input space
- clustering high dimensional data
- manifold learning
- sparse representation
- similarity search
- linear discriminant analysis
- pattern recognition
- decision trees
- nonlinear dimensionality reduction
- high dimensional data sets
- variable selection
- subspace learning
- high dimensional datasets
- machine learning
- hyperplane
- text data
- input data
- training set