Oblivious Subspace Embeddings.
Ruosong WangDavid P. WoodruffPublished in: ACM Trans. Algorithms (2022)
Keyphrases
- low dimensional
- dimensionality reduction
- high dimensional data
- hilbert space
- high dimensional
- principal component analysis
- manifold learning
- subspace clustering
- vector space
- feature space
- lower dimensional
- euclidean space
- input data
- dimension reduction
- data sets
- linear subspace
- subspace learning
- infinite dimensional
- low dimensional spaces
- kernel based nonlinear
- higher dimensional
- principal components
- kernel function
- subspace analysis
- nearest neighbor
- data points