Model free Shapley values for high dimensional data.
Naofumi HamaMasayoshi MaseArt B. OwenPublished in: CoRR (2022)
Keyphrases
- high dimensional data
- model free
- dimensionality reduction
- reinforcement learning
- low dimensional
- high dimensional
- high dimensions
- function approximation
- nearest neighbor
- data sets
- subspace clustering
- high dimensionality
- data points
- similarity search
- dimension reduction
- data analysis
- input space
- manifold learning
- game theory
- clustering high dimensional data
- linear discriminant analysis
- dimensional data
- high dimensional data sets
- neural network
- principal component analysis
- lower dimensional
- nonlinear dimensionality reduction
- pattern recognition
- feature extraction
- computer vision
- high dimensional datasets
- real world