RSN: Randomized Subspace Newton.
Robert M. GowerDmitry KovalevFelix LiederPeter RichtárikPublished in: NeurIPS (2019)
Keyphrases
- principal component analysis
- low dimensional
- feature space
- linear subspace
- subspace clustering
- subspace methods
- high dimensional
- subspace learning
- principal components analysis
- privacy preserving association rule mining
- high dimensional data
- subspace clusters
- principal components
- data mining
- interior point methods
- hilbert space
- randomized algorithms
- clustering high dimensional data
- kernel based nonlinear