Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization.
Christine YuenPiotr FryzlewiczPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- high dimensional
- data analysis
- active learning
- high dimensionality
- low dimensional
- uncertain data
- dimensionality reduction
- interactive visualization
- feature space
- similarity search
- high dimensional problems
- data points
- machine learning
- multi modal
- sparse data
- belief functions
- variable selection
- metric space
- dimension reduction
- gene expression data
- self organizing maps
- noisy data
- incomplete information
- high dimensional data
- visualization tool
- visualization tools
- data mining
- real time