Permutation invariant functions: statistical tests, dimension reduction in metric entropy and estimation.
Wee ChaimanowongYing ZhuPublished in: CoRR (2024)
Keyphrases
- dimension reduction
- statistical tests
- sparse metric learning
- feature extraction
- principal component analysis
- statistically significant
- sample size
- high dimensional
- statistical analysis
- singular value decomposition
- low dimensional
- high dimensional problems
- feature space
- unsupervised learning
- high dimensional data
- linear discriminant analysis
- feature selection
- statistical methods
- manifold learning
- cluster analysis
- dimensionality reduction
- intrinsic dimension
- high dimensionality
- preprocessing
- distance metric
- support vector
- neural network
- metric learning
- data sets
- distance measure
- qr decomposition
- databases