Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems.
Marco TezzeleFilippo SalmoiraghiAndrea MolaGianluigi RozzaPublished in: Adv. Model. Simul. Eng. Sci. (2018)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- high dimensional problems
- principal component analysis
- linear discriminant analysis
- variable selection
- dimensionality reduction
- singular value decomposition
- low dimensional
- data mining and machine learning
- discriminative information
- high dimensionality
- database
- feature space
- data sets
- cluster analysis
- knowledge discovery
- random projections
- similarity measure
- real world