ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces.
Anjul TyagiZhen CaoTyler EstroErez ZadokKlaus MuellerPublished in: CoRR (2019)
Keyphrases
- parameter space
- high dimensional
- product configuration
- dimensionality reduction
- low dimensional
- parameter values
- starting points
- high dimensional data
- feature space
- high dimensionality
- similarity search
- user friendly
- sparse data
- virtual reality
- data points
- computer graphics
- multi modal
- nearest neighbor
- metric space
- manifold learning
- knowledge compilation
- feature selection
- categorical attributes
- input space
- microarray data
- starting point
- search space