Feature Robust Optimal Transport for High-dimensional Data.
Mathis PetrovichChao LiangYanbin LiuYao-Hung Hubert TsaiLinchao ZhuYi YangRuslan SalakhutdinovMakoto YamadaPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- high dimensions
- similarity search
- subspace clustering
- data sets
- data points
- dimension reduction
- input space
- data analysis
- missing values
- original data
- high dimensional spaces
- dimensional data
- manifold learning
- clustering high dimensional data
- lower dimensional
- low rank
- high dimensional datasets
- data distribution
- sparse representation
- input data
- text data
- feature vectors
- training set
- pattern recognition
- nonlinear dimensionality reduction
- high dimensional data sets
- real world
- linear discriminant analysis
- knn
- feature space
- feature selection