Manifold dimension reduction based clustering for multi-objective evolutionary algorithm.
Yanan SunGary G. YenHua MaoZhang YiPublished in: CEC (2016)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- multi objective evolutionary algorithms
- high dimensional data analysis
- high dimensional data
- cluster analysis
- high dimensional
- manifold embedding
- generative topographic mapping
- high dimensionality
- unsupervised learning
- feature extraction
- data points
- principal component analysis
- clustering algorithm
- multi objective
- nonlinear manifold
- feature space
- manifold learning algorithm
- multi objective optimization
- dimensionality reduction
- singular value decomposition
- clustering method
- k means
- intrinsic dimension
- linear discriminant analysis
- feature selection
- test problems
- differential evolution
- pattern recognition
- similarity search
- neural network
- optimization algorithm
- nearest neighbor
- search space