A New EDA with Dimension Reduction Technique for Large Scale Many-Objective Optimization.
Mingli ShiLianbo MaGuangming YangPublished in: ICSI (2020)
Keyphrases
- dimension reduction
- high dimensional
- low dimensional
- feature extraction
- principal component analysis
- high dimensional problems
- data mining and machine learning
- singular value decomposition
- high dimensional data
- random projections
- manifold learning
- linear discriminant analysis
- feature space
- feature selection
- high dimensionality
- unsupervised learning
- cluster analysis
- variable selection
- multiple objectives
- partial least squares
- real world
- dimensionality reduction
- image processing
- data sets
- high dimensional data analysis
- k nearest neighbor
- nearest neighbor
- image data
- evolutionary algorithm
- preprocessing
- image segmentation
- discriminative information
- data mining
- dimension reduction methods