Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data.
Carina NewenEmmanuel MüllerPublished in: ICKG (2022)
Keyphrases
- high dimensional data
- high dimensional
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensionality
- high dimensions
- original data
- data sets
- subspace clustering
- clustering high dimensional data
- data points
- input space
- manifold learning
- similarity search
- data distribution
- dimension reduction
- underlying manifold
- data analysis
- variable selection
- dimensional data
- linear discriminant analysis
- sparse representation
- unsupervised learning
- lower dimensional
- high dimensional spaces
- nonlinear dimensionality reduction
- supervised learning
- semi supervised
- variable weighting
- small sample size
- high dimensional datasets
- data mining