Semi-Supervised Dimensionality Reduction based on Partial Least Squares for Visual Analysis of High Dimensional Data.
Jose Gustavo PaivaWilliam Robson SchwartzHélio PedriniRosane MinghimPublished in: Comput. Graph. Forum (2012)
Keyphrases
- high dimensional data
- visual analysis
- partial least squares
- dimension reduction
- data analysis
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- discriminant analysis
- high dimensionality
- linear discriminant analysis
- data sets
- data points
- similarity search
- variable selection
- principal component analysis
- manifold learning
- information visualization
- sparse representation
- data distribution
- databases
- ls svm
- least squares
- factor analysis
- database
- distance measure
- preprocessing
- real world