Testing Causality for High Dimensional Data.
Arun JambulapatiHilaf HassonYoungsuk ParkYuyang WangPublished in: CoRR (2023)
Keyphrases
- high dimensional data
- high dimensional
- nearest neighbor
- low dimensional
- dimensionality reduction
- data sets
- data analysis
- similarity search
- high dimensions
- high dimensionality
- original data
- complex data
- subspace clustering
- dimension reduction
- high dimensional spaces
- data points
- input space
- manifold learning
- clustering high dimensional data
- data distribution
- sparse representation
- nonlinear dimensionality reduction
- linear discriminant analysis
- high dimensional datasets
- high dimensional data sets
- dimensional data
- feature extraction
- input data
- multi dimensional
- training set
- variable selection
- pattern recognition
- lower dimensional
- decision trees
- data mining