ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces.
Anjul TyagiZhen CaoTyler EstroErez ZadokKlaus MuellerPublished in: VAST (2019)
Keyphrases
- parameter space
- high dimensional
- product configuration
- low dimensional
- dimensionality reduction
- sparse data
- starting points
- parameter values
- multi modal
- search space
- feature space
- high dimensional data
- microarray data
- data points
- categorical attributes
- high dimensionality
- categorical data
- computer graphics
- similarity search
- user interaction
- multi dimensional
- computer vision
- attribute values
- user friendly
- noisy data
- nearest neighbor
- manifold learning
- high resolution
- training set
- objective function
- machine learning
- high dimensional problems
- neural network