Bounds on Causal Effects and Application to High Dimensional Data.
Ang LiJudea PearlPublished in: CoRR (2021)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- high dimensionality
- nearest neighbor
- low dimensional
- data sets
- subspace clustering
- dimension reduction
- data analysis
- data points
- upper bound
- clustering high dimensional data
- high dimensional datasets
- similarity search
- real world
- manifold learning
- variable selection
- computer vision
- high dimensional spaces
- data mining
- causal effects