Rank-based dimension reduction for many-criteria populations.
David J. WalkerRichard M. EversonJonathan E. FieldsendPublished in: GECCO (Companion) (2011)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional
- data mining and machine learning
- high dimensional data
- high dimensional problems
- manifold learning
- low dimensional
- random projections
- variable selection
- discriminative information
- preprocessing
- singular value decomposition
- linear discriminant analysis
- cluster analysis
- partial least squares
- feature space
- dimension reduction methods
- high dimensional data analysis
- unsupervised learning
- dimensionality reduction
- manifold embedding
- text mining
- active learning
- feature selection
- computer vision
- real world