: Subspace Embeddings and Independence Testing.
Yi LiDavid P. WoodruffTaisuke YasudaPublished in: CoRR (2021)
Keyphrases
- low dimensional
- dimensionality reduction
- high dimensional data
- hilbert space
- high dimensional
- subspace clustering
- principal component analysis
- database
- case study
- feature extraction
- vector space
- low dimensional spaces
- infinite dimensional
- finite dimensional
- subspace learning
- lower dimensional
- principal components
- test cases
- data points
- face recognition
- genetic algorithm