High-dimensional scalar function visualization using principal parameterizations.
Rafael Ballester-RipollGaudenz HalterRenato PajarolaPublished in: Vis. Comput. (2024)
Keyphrases
- high dimensional
- low dimensional
- data visualization
- high dimensionality
- data analysis
- feature space
- dimensionality reduction
- data sets
- neural network
- high dimensional data
- data points
- information visualization
- variable selection
- gene expression data
- self organizing maps
- nearest neighbor
- database
- feature extraction
- image segmentation
- case study
- information systems
- real time